{"id":1613,"date":"2026-07-31T07:31:38","date_gmt":"2026-07-31T07:31:38","guid":{"rendered":"https:\/\/ubuntupennsylvania.org\/?p=1613"},"modified":"2026-07-31T07:31:38","modified_gmt":"2026-07-31T07:31:38","slug":"how-smart-mobility-unlocks-new-revenue-streams","status":"publish","type":"post","link":"https:\/\/ubuntupennsylvania.org\/?p=1613","title":{"rendered":"How Smart Mobility Unlocks New Revenue Streams"},"content":{"rendered":"<p>The Connected Vehicle Economy of Things Is Reshaping Americas Roads Right Now<br \/>\n<img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"Connected vehicles Economy of Things USA\" 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\"\/><\/p>\n<p>Connected vehicles Economy of Things USA is a system where your car becomes an active economic node, securely transacting data and services with smart infrastructure around it. This transforms your vehicle from a simple machine into a revenue-generating asset, automatically paying for things like parking or charging while it drives. The real value lies in this seamless machine-to-machine exchange, turning every trip into a more efficient and <strong>truly self-sustaining journey<\/strong> for you and your wallet.<\/p>\n<h2>How Smart Mobility Unlocks New Revenue Streams<\/h2>\n<p>Smart mobility converts vehicles from transport cost centers into active revenue platforms within the U.S. Economy of Things. By leveraging embedded telematics, your car can generate income through dynamic data-sharing with infrastructure for optimized traffic flow, or by renting its idle processing power for localized edge computing tasks. <strong>Your parked vehicle becomes a mobile micro-node<\/strong>, earning credits by participating in decentralized energy markets, such as selling stored battery capacity back to the grid during peak demand. <strong>Shopping journeys become monetized trips<\/strong> as the vehicle negotiates curbside access fees or in-route advertisement placements directly. <em>Ultimately, every mile driven can now produce an actionable micro-transaction, transforming ownership from a sunk cost into a liquid asset.<\/em><\/p>\n<h3>Vehicle-as-a-Service models beyond ride-hailing<\/h3>\n<p>Connected vehicles enable <strong>Vehicle-as-a-Service models beyond ride-hailing<\/strong> by transforming idle fleet assets into mobile revenue hubs. A delivery van can serve as a self-moving cargo locker, dropping goods at rendezvous points, then autonomously restocking from a warehouse. Similarly, a parked EV equipped with bidirectional charging sells unused battery capacity back to the grid during peak demand. <mark>Mobile point-of-sale<\/mark> units turn roving cars into pop-up shops, processing transactions while navigating high-footfall zones. Each use shifts a vehicle from a cost center to a profit-generating service node within the Economy of Things.<\/p>\n<blockquote><p>Vehicle-as-a-Service unlocks value by repurposing vehicles as on-demand storage, grid assets, and retail platforms.<\/p><\/blockquote>\n<h3>Tolling, parking, and congestion pricing via embedded tech<\/h3>\n<p>Embedded tech lets your car handle tolling automatically, charging your account without you stopping or fumbling for change. For parking, sensors in vehicles find open spots and process payment the moment you pull in, making meters obsolete. Congestion pricing becomes seamless too, as your car\u2019s system tracks miles driven in busy zones and deducts fees in real time. This creates a smooth, cashless experience where every trip generates micro-transactions automatically. It\u2019s all part of <strong>smart revenue from embedded mobility<\/strong>, turning daily driving into a frictionless flow of payments.<\/p>\n<h3>Data monetization from onboard sensors and telematics<\/h3>\n<p>Onboard sensors and telematics generate continuous streams of vehicle and driver behavior data, which can be anonymized and packaged for direct sale to insurers, fleet managers, and infrastructure planners. Telematics data on braking patterns, acceleration, and route efficiency enables usage-based insurance models, while real-time sensor outputs on tire pressure, battery health, and fuel consumption feed predictive maintenance services sold to logistics operators. Municipalities acquire aggregated traffic flow and road condition data from these same sensor arrays to optimize signal timing and repair schedules. Each distinct data set becomes a separate, recurring revenue product, creating a direct economic return from the vehicle\u2019s core operational functions without altering the driving experience. This <strong>sensor-driven data packaging<\/strong> transforms raw telemetry into a continuous, non-transportation income stream.<\/p>\n<h2>Infrastructure Convergence Driving the Economic Grid<\/h2>\n<p>On the interstate, the economic grid hums through <strong>infrastructure convergence<\/strong>. A connected truck, laden with sensors, doesn&#8217;t just navigate\u2014it demands <strong>real-time edge computing<\/strong> from roadside units. As it rolls through a weigh station, the pavement itself reads its load, <strong>wallet<\/strong> deducting a micro-toll for wear. Ahead, a smart traffic signal syncs its flow to the vehicle&#8217;s <strong>dispatch<\/strong> schedule, <mark>minimizing fuel waste by 12% per trip<\/mark>. This is the Economy of Things: where asphalt, power lines, and digital networks fuse into a single grid. The truck\u2019s battery, while parked, sells current back to the grid, turning downtime into income. Every mile driven now pays its own way, the infrastructure itself settling accounts with the wheels it carries.<\/p>\n<h3>V2X communication networks as transactional backbones<\/h3>\n<p>V2X communication networks function as transactional backbones by enabling vehicles to exchange value directly with infrastructure, such as paying for tolls, parking, or energy <strong>through real-time, machine-negotiated microtransactions<\/strong>. These low-latency links process payments or resource credits without human intervention, converting each curb, charger, or lane into a node of the economic grid. <em>Every data packet carries an authorization or settlement instruction, not just a signal.<\/em> The network thus becomes the ledger for commerce, where a car\u2019s action\u2014like reserving a charge slot\u2014triggers an automatic debit or token transfer, eliminating billing cycles and making mobility a fluid, transactional experience.<\/p>\n<h3>Smart roadside units enabling microtransactions<\/h3>\n<p>Smart roadside units (RSUs) function as localized transaction processors, directly enabling microtransactions between vehicles and infrastructure. When a connected car uses a premium parking spot or receives real-time traffic priority data, the RSU authenticates the vehicle\u2019s digital wallet and deducts a fractional fee via automated ledger entries. This creates a <strong>dynamic pricing infrastructure<\/strong> for instantaneous services like toll-by-distance or intersection-based hazard alerts. Because RSUs validate both the service delivery and the payment within milliseconds, they eliminate billing overhead for utilities like curbside charging. <b>Q: How does the RSU ensure payment without a central network?<\/b> A: The unit executes a smart contract locally with the vehicle\u2019s wallet, settling the transaction through mesh-based finality even if cloud connectivity is lost.<\/p>\n<h3>Energy trading between EVs and the power grid<\/h3>\n<p>Energy trading between EVs and the power grid enables vehicle owners to sell stored battery capacity back during peak demand, a process known as <strong>vehicle-to-grid energy exchange<\/strong>. Through bidirectional chargers, the car\u2019s battery acts as a distributed storage asset, automatically discharging when local grid prices rise and recharging when rates drop. This <mark>dynamic load balancing<\/mark> allows users to offset charging costs without manual intervention. The system prioritizes maintaining the driver\u2019s minimum range reservation, ensuring mobility needs remain unmet. Revenue credits accumulate in a connected vehicle wallet, usable for future charging or other Economy of Things transactions. All trades occur via real-time grid signals processed by the vehicle\u2019s embedded software.<\/p>\n<h2>Core Stakeholders and Their Economic Roles<\/h2>\n<p>In the U.S. connected vehicles Economy of Things, <strong>three core stakeholders drive distinct economic roles<\/strong>. Fleet operators pay for real-time data to optimize routes and reduce fuel costs. Drivers earn micro-payments by sharing vehicle sensor data (e.g., traffic or road conditions) with mobility platforms. Infrastructure owners, like cities and toll operators, pay for aggregated vehicle data to manage congestion and parking, generating revenue through dynamic pricing. *Q: Who gets paid for sharing driving data? A: Drivers earn micropayments from data buyers.* Together, this creates a direct value loop: drivers supply raw data, fleets use it for savings, and infrastructure owners monetize insights.<\/p>\n<h3>Automakers transitioning to mobility platform operators<\/h3>\n<p>Within the connected vehicle Economy of Things, automakers evolve from hardware vendors into mobility platform operators, fundamentally altering their economic role. They now monetize vehicle-generated data streams, offering services like predictive maintenance and dynamic insurance. By managing a digital ecosystem that connects vehicles to smart infrastructure, they facilitate frictionless transactions for charging, tolling, or parking. This pivot positions the <strong>vehicle as an economic asset<\/strong> that generates recurring revenue through over-the-air updates and usage-based subscriptions, shifting the user relationship from a one-time sale to an ongoing, value-generating partnership.<\/p>\n<h3>Insurance companies leveraging real-time risk assessment<\/h3>\n<p>Insurance companies leverage real-time risk assessment within the connected vehicle economy by analyzing live telematics data\u2014speed, braking harshness, and road conditions\u2014to price premiums dynamically per trip. This shifts revenue from static annual policies to usage-based models, reducing loss ratios by <strong>accurately pricing exposure<\/strong> at the moment of operation. For example, a driver\u2019s premium drops immediately when they reduce highway speed in rain, incentivizing safer behavior through direct financial feedback loops.<\/p>\n<p><b>Does real-time risk assessment let insurers deny claims based on a single bad mile of driving?<\/b> No; it adjusts future premiums rather than penalizing past events, ensuring that one high-risk moment does not retroactively void coverage.<\/p>\n<h3>Telecoms and edge providers as transaction enablers<\/h3>\n<p>Telecoms and edge providers function as transaction enablers by processing micro-payments for real-time vehicle services. They deploy <strong>low-latency transaction processing<\/strong> at edge nodes, validating payments for tolls, EV charging, or parking directly between vehicles and infrastructure without cloud lag. This enables instant settlement for data exchanges, like a car buying traffic-priority or a passenger purchasing in-ride content. Their role is purely functional: they authenticate the vehicle\u2019s digital wallet, relay the payment, and confirm the service is delivered, ensuring every micro-transaction completes securely within milliseconds.<\/p>\n<p><b>What is the primary function of telecoms and edge providers as transaction enablers in a connected vehicle economy?<\/b> They authenticate vehicle wallets and process instantaneous micro-payments for services like tolls or charging, with edge computing ensuring transactions complete without latency.<\/p>\n<h2>Transactional Mechanisms in Automated Fleets<\/h2>\n<p>In the Connected vehicles Economy of Things USA, <strong>transactional mechanisms in automated fleets<\/strong> enable real-time micro-payments for services like priority charging access or dynamic lane usage. A delivery truck, for example, can autonomously negotiate and pay for a faster charging slot at a depot, settling the transaction via a smart contract triggered by the vehicle\u2019s digital wallet. Fleet operators configure spending limits and payment preferences within the vehicle\u2019s operating system, allowing the automated fleet to decide on cost-effective routes by paying for data or tolls wirelessly. This architecture relies on secure, vehicle-to-infrastructure communication to authorize each micro-payment without driver intervention, ensuring seamless operations across USA logistics hubs.<\/p>\n<h3>Smart contracts for freight and delivery payments<\/h3>\n<p>For freight and delivery payments within automated fleets, smart contracts trigger automatic settlement when a shipment\u2019s geofence is breached or its tamper-proof sensor data confirms delivery. This eliminates paper invoices and manual reconciliation, releasing funds directly from the shipper&#8217;s digital wallet to the carrier upon proof-of-completion. In the USA\u2019s Economy of Things, these self-executing agreements dynamically adjust for last-mile delays or route changes, using oracle feeds to verify temperature-controlled cargo integrity. The result is <strong>unmediated payment finality<\/strong> for every mile driven, reducing disputes over detention or damaged goods by anchoring financial triggers to immutable IoT evidence.<\/p>\n<blockquote><p>Smart contracts for freight and delivery payments automate settlement based on verifiable, real-world delivery events, ensuring carriers are paid instantly after proof-of-completion without intermediaries.<\/p><\/blockquote>\n<h3>Tokenized access for autonomous shuttle services<\/h3>\n<p>Tokenized access for autonomous shuttle services lets you pay per ride with digital tokens, skipping subscriptions or monthly passes. In the US, you load tokens into a wallet app, tap to board, and the shuttle deducts the fare automatically. This system enables <strong>flexible micro-transactions<\/strong> for on-demand routes, like adjusting payment for a longer detour to a specific stop. No cash or cards needed\u2014just a secure token balance that refreshes instantly, making hop-on, hop-off trips seamless for urban or campus use.<\/p>\n<h3>Dynamic pricing based on traffic and demand data<\/h3>\n<p>Dynamic pricing adjusts ride costs in real-time by integrating traffic congestion data with demand density across urban grids. The fleet\u2019s algorithm calculates a <strong>real-time surge multiplier<\/strong> by weighing current vehicle supply against rider requests and traffic flow metrics. Pricing increases in high-demand zones with slow traffic to incentivize idle vehicles to reposition, while low-demand areas see drops to stimulate usage. This mechanism balances load across routes, reducing empty miles and wait times without fixed fare schedules. Each transaction price reflects the instantaneous cost of time and distance, optimized for both fleet efficiency and user choice.<\/p>\n<h2>Regulatory and Standardization Milestones<\/h2>\n<p>In the early days of the connected vehicle economy, the FCC\u2019s repurposing of the 5.9 GHz spectrum from exclusive DSRC use to shared, unlicensed access became a <strong>pivotal standardization milestone<\/strong>, forcing automakers and roadside infrastructure to pivot toward more adaptive cellular-V2X chipsets. This regulatory shift directly enabled your vehicle to negotiate tolls or parking fees without proprietary hardware lock-in. A second milestone emerged when SAE International updated its J2735 message set to include payment and transaction data protocols, allowing your car\u2019s digital wallet to seamlessly interact with city-owned chargers. <em>Through these standards, the same safety-critical messages that warn of a hazard ahead now also carry the cryptographic keys for a micro-transaction at the next intersection.<\/em> These foundational rules turned a patchwork of pilot projects into a cohesive Economy of Things where your vehicle acts as both a traveler and a broker.<\/p>\n<h3>Federal spectrum allocation for V2V and V2I trading<\/h3>\n<p>Federal spectrum allocation for V2V and V2I trading designates dedicated bandwidth, such as the 5.9 GHz band, to enable direct, low-latency data exchange between vehicles and roadside infrastructure. This allocation supports real-time transactions, like automated toll payments or congestion-based pricing, by ensuring uninterrupted communication for <strong>dynamic spectrum access for vehicle transactions<\/strong>. Without this dedicated spectrum, V2V and V2I trading would face interference from consumer devices, compromising the <mark>transaction reliability<\/mark> needed for economic interactions in connected vehicle ecosystems.<\/p>\n<h3>Interoperability requirements across state lines<\/h3>\n<p>For connected vehicles to work seamlessly across the U.S., different states must agree on how their hardware and software <strong>talk to each other<\/strong>. This means every state\u2019s traffic signals, road sensors, and cloud platforms need to use the same data formats and communication protocols. If California\u2019s systems can\u2019t talk to Texas\u2019s, a long road trip becomes a dead zone. Standardizing those digital handshakes ensures your car gets the same traffic warnings and parking availability whether you\u2019re in Florida or Oregon, making cross-state travel smooth and the connected vehicle experience consistent everywhere you drive.<\/p>\n<blockquote><p>Interoperability across state lines requires uniform data formats and communication protocols at every level\u2014from roadside sensors to cloud platforms\u2014so connected vehicles deliver the same seamless experience regardless of which state you\u2019re driving through.<\/p><\/blockquote>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"603px\" alt=\"Connected vehicles Economy of Things USA\" 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0B6KEONxEmInidhMNC+ONrqc89ppGn2dhRB8lpxWBfiOJMmdHG+EQOic1ziDZIPQeB+KrxHD5J5MLK97WyxEiQt2ew7t8tvgrn2EubihAwl2Hge9tiPlOeQavoQs2Fxr5sBBPiMXy3SRNkcGRimZtNbuhd\/A9y24jDyyY2DEwvaHxNcxzXgkOa6r2620LJh+FPwnLeMTEHCMRvzxWC0EkZddD2j3jwTMmCGJYXtZ63jHlz3RtAjaAXtu2+yNdD8EnYjDHDtndLizE4Al2YtDbdl121voFI4fDskY9+NibkxDsQBYGrgQRv\/qKzHCYR0Lof7QY5jmvb2ZG6ZnF1jQ0bPwpX8SbLBNBzzEJMUwiXkkl1gPq61vcKEcj5sdDFFip+RNC6Vj6b2qLRpY2pyk\/Dwuc97Z5XF87ZyWxl3aaAOjdtAjD4fDwSYdzJcUWwNcyNroXUGmuzeW9KHwV\/EbHzWFrHDGzOa5wa1xjaQSTQ1De8KkyRPcGmfDOL3OaBJhzZIOV3Xv3UpMLhXF7hJIxznNdmERFua4OBOmp0q+5JjIIp2ynGx9l73kPblvNuN+9T8XobNeHxUJjaOdEaa09jQUdiPA9FaJ4nZQ2RpzVVa77Lh4WBz2xjm4cOa1tEX2MuzT2iCO07avuW1uDIkZLGWROaQSYiQCLJIIujd7nayVN1bILEuIHdIP4WqLppW4vlhgyGjmId7xpt71NrcszpL9sAV4i\/wCfyWfH4iWAt5IaZHggA67NcQfiAPekkOmwrRF9U3ypYYJM8bX2CCLsLZAbi8ifvSBYkmkqgTQhBwPTL9FRfvx\/C5eMXs\/TL9Exfvx\/C5eMXO3LcERYI7wsK3rG5jsxppq+5Ybquwx7B81cqcOCA4EEa9QrlUk2e2fJWKtnt+5WIgTSTVAhCEAmhCgEk0IEhNCCkRaVmP5FKQDQdSCSevekxobmNjfUobHRzBx3tBOtR5JpV2gmAgEuySSDfepBQazLub0pACsx8h+KaiWC7\/FOh4\/EoJLPMO37lbbLIJ27yonlluas3kgqG2qCrGiJxND71Plsr2QgzotX8tg+yPgouEbW5iwV5IKilY71cHxC9AKJGyC9oogWOqCmx3hey9DZCOHPaI3uBnd2gNB2W7ryjH523VL1HoyLwTyWg\/SneTL0HRWvKS78suIY7LBhhLvbnSBoGvkT8lHPjnf4UDD+0XfyU8Vhm4qF0T3va02DkNXYrXv3WZ3DYHW1uIkaMxc5rHgEXXwGhPvPTRdMsr2s4g\/R00TB3sZ\/MlRfhyTkmxTnOq6MxYf\/AFpc8RYGaR0EAxGMINPIf2Gm+rjpflZWiPBYHmE4jCBrnmiRIXNBJ26V3beC1PVCbNbZo2MyDEQMa0d9\/eVmxc2FlYYp8cxovYPyE\/Agq53D8F2agacp0Gvff3qZwmFrTDRWBWrBssZlXNig4dGQG4mMNea1fYJ+Kd8NY0vjfhtNy2JtjzW44XDOGV0EZHdkFdyBg8LmDhh47Aqsor4bK9VvUxDEcZg48w5zgW9A2rFA9B4j4pjiGGIa8zTiMs5mbuGxsb\/gt\/JhzE8llnrlGqyzQOOJDmYjEMadMkYZlHxaT80jfkZv7UwpouOIeDqNCbF6FRZi43tbWCxQugaaSAfitwiDm9qbEOH7zL\/DSTsJhjo+LOP+4S\/+JXEeqOY\/iUbdoMS0kE04luw238KUXcYwgmbGJpiXdAb6WPE+S6PJgjsxwQtFWAGAKReG6AN02U2HMGOwjzkc6YlxAGaM6k+5WMwuFxELZWsY5r2ZgTG2\/mFuEvh80Zxf9UzKs8GCw0Uge2CMPabDsgBHwC1O9tvkfwSDwSs\/EMZFgYBPNmDM2W2i9\/8AhBvjohXYYkGRp6O\/BcvhvEIcfG+TDucWtdlOYVrV\/iunAbLz3kfckEtKRQCmqhIQgIOD6Z\/omL9+P4XLxY2XtPTP9Exfvx\/C5eLGy525bjg1HqU1VI15f2TQrXVZVYhAuhe6EDb9YPJWqoe21WIGmkmqBCE0AhCFAIQhAIQhBQI3eFgk\/JAioglwodPgjLJsCfj4fzTyPvfTxPkgs6hMBI7hSpALO\/FxtcQAXeIVmIOWB5HcuasWth30tOLby2euM\/Vcj1tn6hWNCx1S7dzRpM8ZN5X73v8AnuQZ4yCMjtVmQnXJ3NGkYiNpsNd8lMYxv6pWNCdcnc0bDi2fquUTimOFFhpZUJ1ydzRoEsIqo3CvFMYiMBoyO7O2qzITqk7mjU3ExtHZYQvVeir45cES7lC5yKezMTo3r714te39CZSzhczeXI76Zxtosey3TzW6WmZctbTrWuYeoy1fmsGPr1XFjO0AspxBogdfkV0m6tPn+Cw4iSOJ03MfG1oiLnZh07ye5eiOXjUvw73D1Y4SEYVhOQNfRFXWg\/n1VUtRF2Giw3bl9tzXWQy7JI17zXiq2x4nEuA9dkwmHrSEOaZa6WSLb5alWYaL1Zrm4aUStJt3MILnHvLh187WsRG+d0bfXIbp4fGT0c2lWyeeSUNETMmYgkSXpehHu6JMna6JrwbDhYtVuETm0QKu6BIF+Sw02devxUq8CueHPYQY5nV3P1Se0YqRonia4jbKTR8PvQbyad4qmdpJj7GYZt7rL4puYW5QAcrW0NbKhO0mI20OqibNBESaBlqhuR80EtBs0PFUTPOHilfkDsmzQdzW3xWLE4HmNY\/GczEOLjbI\/Ybp0HQWN99d1qIjmR07Y9ttLXNrobVclA11KxRxNwsDZImGDthhiLjTrIG3fruugWZhRJ3HRJ9hVob1CYr4rLjczcrLlDMpc7ljtEDoPiNlXhoC17zBJNGAfYkYC3zHU\/FMK3aHYrPxGGObCObM0OYCCQVdEeZGH7E2PDelHGgjBTlozERuIB6mlJIcT0VIY7HQg6MeCPmPwXqMMfaHkV470UOXGTt\/WjB+B\/qvW4Y9s+I\/P3qVatGG4JqtvkrFtg0ghCg8\/wCm78nB4T\/+wP4XLw\/rDe4r2np3+hYf\/sN\/hcvBLz6lpiz2aOnW1cy0+st\/VKi6ezYsaKhC59cuvc0aPWG\/qlHrDf1Ss6E6pO5o0esNsGjoVP1tv6pWRCvXJ3NGz1xv6pR6439UrGhOuTuaNnrjP1XJ+us\/UcsSE65O5o2+us\/UcpxYhkrsoBB8Vz02uLXBw6G0i8pOhXGzqoQhdXjCEIQUAvLnZb0Ou2ym0SZtTokx5Jpw8tFYgDuPNReyRzuxJkH7NqR6eaZIG5pBmxETmwuc6Z7vA7LEuhiSDh3V+dVz1yvy9eh4W\/h7WmN9gHXqFe58DXU4sBHQqnh31b\/NE+DdLK54eBfSlY4c7Ym85lKaSAwvDXMujVIwZbJALaCW6HRZJ8MYGgl4NmqpTwD8sxZ0cFM77tzSOjNZUzs5czm9AdFfw+MOc57hYArVPiLKc1466FaMK0RYUE6aZikRutr50\/myY5wM2VoADR0CzJvcXvLjuTaSzLtWMRhs4e0Fz7AOg3Wp7oGHK\/ID3ELNw72pPIKHEP7wP2VqJxDz2r1akw1Pw8MzLaAL2c1eg9E4jHw6ZrmZqnP+Jl+y2l5fhzznczoRa9d6PZG4ZxPJDuYaLwb2A\/Fbpzlz1c1zV6aM6HYeHuWDizObHlGZ1FrnNAu2h4J89AdFsgPYbqD2RsEnn6cNt1FpOg03HzXeJxOXmUHDQYhnOEccj3Cw4gGzQ6+4LnTwB0r45GQyzuFNyucS3\/U7XavuXSZhcO8BxibbhZoVfmoOEcJMcbGMaNcrW0mwzjh0DGNbHNOxrRQAfosZkZnMTMUc4eQXZdulEefVb3SUdz8FUZjruoqowYkVlmjd+0K+5RBnw8jXzSQBpsCjVmvGvFWc3RSYWvkYHta4ZhoRaDc6rFAKEziIn0GkgHfb3qwta0AANAAoAdAkQCCKBvvVFEoEkcrHVThrXkudyZsE1z80JZVOklnc0aVqW0R0+fium0gtGrNWN9nb\/hcvFRt9df61iA6FjMzWyMBaHOLq+GX5qx7ohhnYXFSNkdjmSvBuONjqDe8gdT+RS3uijB9t520Llz55nPwkro3QyRXlaw5s1nYCwNdRSvE2JY0c3Dk0NS1wJPuCkzndYTnwsT2gtL2PGz2nUKEeGnIIOKcG7HlsDSffr8VXJj2MYXSh8bQLJe2lHC4vESszRRg27RjgRXm6\/kAUgdJrBHG1kYysaAA3uHcpVbaPUdVVHPnLmujcyRu7SfgfEKwHwQeewELMLx3LEKjkYaHd4fJekgNTDxafwXm2FzPSABxJDZHAeAN\/zXoofrm+8fJSrd4b2KYVcasW3M0k0KDz3pqWt4Xhy8W0Ylt\/7XLxmNlifG0NIc6+nRez9NWh\/C8M12oOJbf+1y8XjII4ogWNok1uvPqcvVo42yxoW3C4VjoxJJrewVjosK9potFC7aVz6XonViJwyYRzGTgybVoT0Ksxz43vbkIJA1IVeFjbJPlcLbRU8bCyIsyCru9U8knHeR6syFvgwsUkDXFvaI3tWtgw47Aa0nz1TpknWrDloWjF4cQuBb7LvkrsLhGujD5Bd7BTE5w1OpWK9TChdLkYaR1Ny2Nw0qnGQRxRtLG0Sa3V6UjViZwxoQhZdHWQhC9D5oQhCClsp1ujoSNe5SbI52wHv6o5gANN26HzpLnZdwLs1r4oLCdB5qudjpA0NoVZs9\/RWXYB8lGQu0yg3v8A0QZ543iN7iRRN+WqyLbOHiB13435rEuV+Xr0PC6HDvq3+arxOJljnc1rgAPBPASMZG4PeG69StJlgJ1ez4hWOGLbXmZjLmyzPlrObrZRY4se1w3BtdCaSEwvDXMujVUuasTs70nqjjDrTRieEAdaIKrxz8mHyj7WnuSwk7OQGveAW6alZsbKJJQGkFrRuFuZ2cKUnqxPEM6EIXN6m3h3tSeQUOIf3gfsp4B7WOfncG3W5WsywE2XRk+5bjeHntM11M4ZuHxnM6QjSqHivYejkb34GQska2pSNWBx2H815STGRMFM7R8Nl6P0PL5OF4hxdN9cT2OvZbt4rdMZw5akWmJtL00ZINE2Q0Wa3RLfNZ7erTtt0+alGLo04EgadycgstGV531B0HmuzzoRnsN1dsOiw4uQtndudvuW2MkMaCx2gA1I\/msOMglfiy5rdHAaFwB+9BQ6Wx1VBfV7\/FXuwOIB1j\/9woepymzbBW\/bQUZiOnzVkUnbafEKxuAlkbmY+Fw6EPv8EOwTowOZLEyzpZKDrOFKIoEnvUBOJHljXtzAXsVI3lFn4BBWw1lFt2Ipo0FFQlgbMQ7M5j2+y9hoj+Y8CmGyUCXCxd9nxVOIlmjyMhymSR2VuYU1ulknX5f8qx7IwSMbDinFz3yPbs55uvIDQe4KRnJHVD8FLLPmkmnzv3IY0NGm9b\/NW4fCRudJFI4ukjIBLTQNi9uh8EndWTEyOfCQ3Ugh1XvRBr30qsLOPWi44kMG+Qs1Ou3fsuv6jhm\/4Z97z\/NcpzMHAXtxL4GSZjfrJJB1NZb0qq2+9Ij1G\/D5pZHzuaWNIDWNcKNC9SOl3t4LQNtFyMNJg2TRjDOzsr6R2ZzmbUAL633dAbXVgexzLj9k+FK25HExw5fHGO\/Wcw\/cPwXfjNTMP+r+iy4iPDuxLOZEHSEdlxbdV49Fe005p\/1D7wsxy3a2Yh0mqYKg0qYC25pBCE1B570y\/R2F\/wDtN\/hcvHcR+pb+0vX+nDsnCcO7uxLT\/wCrl5OWWGWB3aadCQDva4anMvTp5iIlnwuLEbOXJsNirpMLDM3NEQD3jZQw4wz4Qx+XN1vQq4PgwzCGuAG9A2SsRxu3acW\/DnLJggW4rKdwCCrOI+1H5FV4aUHFmR5DQbOpUse9r3MyODqB2Kz5OmJ7yJasN\/dWeS5+GJ9ZYetrbh5Y24ZoL2g1taw4chs7CTQB3VnySkeJs4j9S39pWnTB9n9TT4KjHSMfE0Ne1xzdCpYTEsMYjeQCNBfUK53Y6Z6Illwl+ssrvWriP1Tf2lNrcPE+2VmcaFG1DiP1Tf2lMYherq1Ilz0IQsPS6yEIXofNCEIQQPLaarz0QHtNU06+CCG5rcbNbJAxggDSutIJnYe5M69aSNVolI4tquppBGVhfE5tkmtFzdl0DIcru1ZBFUoOhbI4lwcD3hYtXLtpakU2liQm6g4hpsXokuT2BCEIBCEIBCEIBCEIBex9Doy\/hctRPf8ATn2XAbBv8145e09CYo5eHy8xgcBMdS7bRvRdNPxOPaPA9TA1wY0FjmkDYm1yeP8AGJsBPHBhwzMW5nFwvrQHyK60vJbh3c1rHQBhLgRmBA8Oq8j6ROw7scz1VrGxiOqY2hYc5XXtNaZhfs3Spqa8VvGY3XO4pxaRlHDFzXD\/ACTqFQ7ieOjDXugY0B2jjGRr\/PReqxss8WGwhh4rh8E3kglsoaS7TcWuLhJX8W9G8fBKc08D\/WG6d9k1\/wC3xXmmbxOOqX09PubV65064zEfWcejGeO8S5QeWt5ZNBxj0J81VHxDGTPc+LDRyOBslsV7962ekZ9UwuA4W01yY88gGxcfyfirPRiaTD8M4xNE7LIyNrmmro05Z6r9XT1S7Tp6Hc97GnHO31xDB\/bWOhJYWRxkbt5dJO47jHCnCIjxYutK+Tjvo02adrTi4sQImSVWayB\/\/XyVeM9GYocNPypcQ6fDx8xxfERG8AWQ09\/vKszqeUpX4SPw6lIic44z\/OXP\/t\/Hd8Y\/8Ejx7HH7TP8AaurF6M4F7oYXY2VuInhEjG5LA71i4hwbCRYWDFYPFSSwum5LyWWQe8DS9tlJnViM5\/Va\/BWt0xT9Gb+3cb3s\/wBqhJxfEytyyCNwux2ao94PRdHiHo\/DDw2XFYZ+JDoaLmzx5cwPUK8ejnD+dDhnY6VuJxEeeNuSwNCdfge7ZXOrnn9TPYcZ6I+no4Pr+IO8shHcZn\/\/AOlobxLF4QcsRMh+1lMdXfVasPwXCxYB2K4ninQtMphZy25tRYJPhofgp+mf6Zb+5b95Sb6vTmbStdPsttWNOunHnvj0wyni\/EBGJCxojcaDuXoT5qs8ZxZ1+jvvyLb6rJP6PcNa\/FubDLicgY5oyssuF3v8+qq49wrDcMDGxSYgyF1ESR00itw7b3KTbUxnK00+yzbomkZzPl6MT+K45xv1gjya3+Ssi4jj2wufrIxpovcywD3WruC8Ji4lDi5JsQYBhw12arFG7J+C1GBrfR7iDsJjZH4Rs7QGlgAf7Op0sf0Ui2pjOVvTssW6IpGcxHHr+TnHi+KLg626eGinJxPHRODZWBjqBAcyj4FbOMcEwvDcEHied8pDady\/o333EbLbjOEO4h6QNwuKxkkh9VDxIWtBGu1BXOrxlz\/o8RaKRjfy9Mezkj0hxw6x\/wCxSHpHxAdYv9iuxPBMNJhIMRwzFOmbJMIDzG12jpf571q\/\/HeHumxGHjx0rsRho80jcgAJrp+eqvVq+v6rPwURmafpx82XCekWMdi4mTCN0bnBrgG0dV6xfPML\/e4f22\/evoZXp7Le1onql837W0dPStXojGcvNenn6Fh\/+w3+Fy8Cve+nn6Fh\/wDsN\/hcvBK6viebs\/gCEIXJ3CEIQCEIQC24UwGHI8tzE2cyxIVicM2r1Rh1Gtw8RzDID32seMnEzwG+y35rOhWZZrp4nMzkKUbC+QNHVRW3BlhjNCnDdKxmV1LdNctKEJLs8ATSQgRa2yS6tb36pDl6EHxGqiIrNmhRJGnjaCxoBaXnvP59yCwkFtg2Ck81l0uzSNMuh0Q8tAt3uQQMugyju37tEnyktdQAoDqnnY26B8R8UpJew6m9D+H80Ic9WQQOncQ2hW5KrV+Fkkjc7lsL73AC4Q+jbONlcsTon5Xb+CgrcQ98ktyNynupRMUg3jcPchE7boIVpw0wbZjNKpRYmJ4CshhfMSGVp3qtbOHfWP8AJWN5ZvPTWZhmlidE\/K6rq9FBbMZG+TE9hpPZCzPjfH7bSEmCtsxCC9r6GMDuETWIadORch30bpS8Uvceho5fCH5+W0891cwEn2W7D3Len4nLtHgemZmdCNY8xaaLNR7rXlfSiORmOic82HR0DlrYmx816nODAS190xwtorUdy5\/EAx+DlfKyScRsLm5mdm9dTa3q066TDHYtfudaLYz5MMnpBw7ERQtxXDDM6JgYC5653C+LN4bxWTFRwnkvzDlA7NJsD3aLJhcDiMXFPJC0FuHZnkJNUPyCsy+dN7bS\/U07NoxFqR+cZn+Q1cSxjsfj5sU4VzHWB3DYD4UtnBOKw8OixcWIw5nZiA0EB1aC\/wCa5K04vA4jBcv1hgbzWZ29oGx7lmJmJ6nS+npzSNKeP9OhjuPGWKCDBYZmEghkEjWtN24Gxau4hx7D43DykYedmIlbldWIdkHiB+C4CmyKSRrnMjc4MFuLReUeKvXZj4XSjE4495\/X1d1npFG3iGExPq76w8HKLcw18Vni42IsBBA2El8WKGIBJ0Ot0ufHgp5MFLjGMBgiIa91jQmunvVCs3slezaM7RHHv\/PV6LHekWHxGFxcUWGma7EgW58uYA+A6DyVLuPxu4xg8dyHZcPFyy3NqdCL+azYHgHEMfhxPBE3lH2S54GZc+eGTDzPhmYWSMNOaeis2vzLnp6HZpmaV3nfO\/rs7MXHMK\/CyYbHYN08YmdNEA+qJJNH4n4rHxziTeK44YhsZjAYG0Te1\/zWePAYiTASY1jAYInZXuzCwdOm\/UJu4fimMw73QkNxJqI2O1+bUm1pjEulNLRpfqrO+\/n9WyHi0A4RFgcThDKIZRI0h9Ai7IPxI96s4rxnD4rh0eBwuHkZG1+e5ZC8jwF9Fll4LjojiA+Jo9XaHy9sHKDddfBc9JtaIxJXR0b26qznE5585dHhvEm4LA4\/DujLzimBoINZd\/5qWC4nHBwnFYCaAyMmOZrg6srtK+4LmpLMWmHS2hS2ZmOZifzjh3sTxzCnhUuDweDkiE1Zg+UvazW+yD\/RWf8A5JF\/bIx3qz8ow\/JyZhd3drjY3BYjAStjxLAxz2B4AIOh8vJZlqb2iXKvZdC1dt4nPn6\/+OrheLGDhUeDjj+lbiBM17iMtiqv4L1c3JwrMZj5oIoXSwkPkbNmzmtA0V193RfP0K11JhjW7FXUnMTj19+Pf2X4JpdjYGtFkyNoe9fQSV4v0dk5fF4hQIeHA2NtL0+C9kvZ2SPwzL5H2zeZ1a19I\/v\/AOPOenf6Gh\/+w3+Fy8Evfem7HScHiDBZ54P\/AKuXgnNcw04EHxWtXxPJ2eY6MLYsPJM0uZVA1qVU5pY4tO4NLocP+pd+1+CxT\/XyftFYmNm62mbTCtCmyKST2GEofE+P22kLLeYzhBCbWucaa0k9wCfLeHZSx2burVFyihSc1zHU5pB7ipjDTEXy3KpmIVITILTTgQe4pKKFpwRp7vJZlpwXtu8lqvLnq+CWxCW3kmu7whCEIK+W67J0vqUck9XD4ef80dtwcNe7w6Icx+pGtnv8VBYRTdVGRocBZoA2mBUdVVBD2ZxVkeSCGWJo1199pOMWR1AXXd+e5SLGDUur3+Ki4R5HUenf5\/1Qjlz1s4d7T\/ILGtnDvaf5BcK8vdq+CUMf\/eD5BdB7xHGXu2Atc\/H\/AN4PkFsxf91f5LcebjaMxWEcPihO4ty5SBe9rLjmBk9gVmFp8P8Arz+ynxH61v7Kk7w3WIrqYhkWzh31j\/JY1s4d9Y\/yWa8umr4JX4nFchwaG2TqptLcTh7I0cNu5ZsdC90ge1pcCK0FrRhWGLDgP0O58FvfLzTFYpExyzYGEGRznD2NB5r2Xo3I31CYCVjCJSCSzMfZC8hgHhxlHUm16\/0WIiwM5M2TNOdAyzq1vX3LVE1t5nLusfmw5LZS45XAPDdb8lgx7T\/Z+Is4t\/0TjbtG7LpRfVayOfYPaAo+5YcTA6fDTMbFiHOewtbzD1OgXS3EuWnMReJn1cHgeFhxGC4o+VpLosOXMIcRRo92+w3XUgwnCoIeFNmwAllxzA1zy89nbWveuBBi8Vw1uKw4YGGdhjkD26gajT4qTuL4l3qV8v8A6L6rs+W\/fsF82tqxG8bv1mro6upaZrO0+\/t\/tXxTDMwnEsRh4ySyN5Db7l6zEjBTYrhmExWD5zp4A3mZiMgroF47F4l+LxUmIlrPIbNCguqz0o4gxjGhsByMyMJj1bpVjVKWrEynaNDVvWmOYifPG+P9tfqWA4Rw+XFYnDHGE4p0DQ51ZWgkfHsldCHBYbhc\/F2MjL8OcKJOUXEaU623v0XnMDx3G4JsjAY5mSPzlszc3a70o+OY+LiD8aJQZZBTgR2SO6lYvWMOd+za9uqJn9Z33iY+WMcuzw7E4IcC4nOcF\/0olYRh+Yf9Na+eq5vpFhMNCcHiMJHymYqESGO7DT+SqMRxrFYmHFRPbEGYlzXPDW1qKqtfALPjMfNjIsPHLly4eMRsyitPH4LNrxMYddLs+pTU6\/Wd987Yj\/Pm6Ho5hpcTjGTSTOjwmDPNe4u0Fa17618ESz8N4pxHF4rHTy4fO4csMZdtArX4BV8P9IMZw7DDD4ZkAYCSSWak951WTiOPm4lifWMRlz5Q3sihQTqiKxDXdalta1p2jiJid\/7ebvcEbh528V4bg5HSRywh0RkFWaon4kfBddsUGOxDMEwAf2XNGR4gN\/n9y8Tw7Hz8NxPrGHy56Le0LBBV2D4zi8FjJ8VE5vMnsvzCwSTdrVdSIiIl59bsWpa1rVn5fPaJ\/SHocHio5pfSLETR82IZQWZqzBuYAX7lRJwnA43HcJkihOHixjHPkja7TsgGh9y4GF4hPhcPiYI8pZiWhsmYWdL2+KsPF8XWDDXNYcGCInNGutXffsneRMb\/AM3b+F1K2mdOceXP\/wA44+buY3hvDMSI44jhcPPz2xhsOIDy5hNGx3i0+LcP4VHhcVEwYWCWBtxFuIt7yNw5pXGxvHMVjWsDmQxFrxJmiZlJcOt96eN49i8bhnQysgGes72x051bWUm9N9ma9n7RE1zbj3+X1d\/GYCHiPpHho8RrEzBB5bdZqcRV+9ZMTgeGTTYF0YwrZH4hsckMGIzhzD17x\/Vcx3pBjy\/CvzsD8MCGuDdXA1YPfso4jjmJnngl5WHjMD+Y0Rx0M3eeqTekpTs2vXEZ2iPX5\/32dOaLgUPHG4KTDuiijcc8jnmnEjQeACw+kWFbh54XR4SOCORlh0UpeyTxHyWZnFsTHxN+PAjMr7zAstpvwUeJcUxHEnRmcMa2MUxkbaa1Zm1ZiXfT0dWmpWZnMY33nlZwH9MYfzd\/CV7G8vl9y8l6P4eR\/EY5g08uOyXdNiK+a9Za93ZI\/B+b4v2xMTrxjyj\/ADLiemEr4+FxFjM5540\/8XLyWIaJsNnLSHAWL3C9T6XPki4XGY25vphpV12XLyEs+IEVvja1rtFrU5eHSrOImFnD\/qHftfgsrmczGOZ3vK1cO+pd+1+CpLXRY4PeKa5xorn5Q6xOL2apnmCMCOMu6AAbIid6xE4SxlvQghPEPlYwOiaHd4VAxGJLC7lAAd4KrnFcxsrwbcmLc3uBC1zSxwdtw7R003KyYNxfi3OO5BKfEfbZ5FSNobtXq1IiThkZNjc9V2dL71onkljILI87etHVc2Jj5JAI\/a3W6CWfOGSxn9qkiV1KRE5hkxM\/PeCBQAqiqVt4hG0FrwKJ38ViWZ5ddOYmsYC04L23eSzLTgvbd5K15TV8EtaNihC7vCE1EGtCmggXPJofIeKfbBFA1eqDL2c1aX3oEhJ2r3fJQNoIiAIqgpPbmFabg6oN5TYo0h+Yt7O6CrkkV2hp3BN0bS11myAfmkGSVqa79fJPlurUNJsIOcrsPOYC4ht2ieB0RsC2nqqVw3h9DMXhZPLzpM5FaK6XGGSMsyAX1tZUJk6I29lsExheXAXpSMRMZ3BxbVClUhMr0xnIVuHnMDiQ27FKpCizETGJbBj3ZjbAR3XsoT4x0rS1rcoO+t2syFcyxGnWJzhKN7o3hzTRC916JYrmcIkJeY3Cc6Nbd9lq8GvcehDq4RO3nOZmmdoB\/pbqt6fLn2iI6cvUROzR3mc6iRZFXospYDRdDM4HfmSVS2QOzMBLnnXdwq9FTK4yMBfh3dk2AXUvQ8LNyak\/u8bWga3La5XHwWYE\/wB3FvAIZq4fml1xHlIyYeJtiqdJfuXJ9ImkYAA8gASAUwU7quer4JersUR8RT5vNpL2Xo2yeHheGkE0pjmmI5cUIcALo5juBpv0tTDhw2HjkmGYwGKVrmAiw0kDp718+NLbOX6S3bsXmkVzj398en+3i1ug4aZuDYjiHNoQPDcmXeyOvvXqWshxfFuD4rEMYZZsOXnTRzgAR8LKox0uPm9FuIO4jFy5RKA3s5ezmb8R4q93EZyxPbbWmsVjGZjO\/vjb14ePAs0NSuvxPgEvDeGQ4uaUF8jg10WX2SQTvfgl6NjAsx\/rGPnZG2Gixrh7Tu\/3fyXb4xHBP6NmR\/EWy3O6RsgjP0jqdTAL0\/opWkTWZdNftNqa1aRxnfbnLzvBuGf2ri3YcTCJwYXglt3RGm\/inDwieXhOIx4IDYHZSwjU7X8LT9HsR6txzCvJoOfkP\/lp+K9VO+LD8Rj4MHHl4qOYv8C8kj4UR70pStq5ljtPaNTS1emvG0\/lGcuBF6OF8nD2OxWV+MYX1y\/YAbffruuLMzlTPju8ri2++ivZvmDvTbDQMPZw8JZXccpP3EKjEYn+0+CYx2NawNgxbWMIFZG5mg\/IlWdOu+GNPterExN94mI\/LMzj\/DyCF73iZjiixWHkhmdg2wdljMOMjNNHB3gnBy8Pg8DFDHLJhHwW+OPDh7ZLGpcehTud8ZX7x\/DFun9fbPpz\/MvIT8NMPB8NxDm2J3luTLtRPX3LAvVuhin9H+F5Wk4VuMOcn7LC9w1+K3cae0YXHwTxTvhbH9EBhwGRmtCHddUnT2y1XtsxbpmM7z\/fDwyF63jmNfBHgMLFho5OfFHntvaeARTb7rv4qXpJz8Vwh045kMTJGh0E0Qa5p27J6jX+vRZnT534br2yZmua4i3v+zncDefViD0NBddjiaXD4M4CKr3J\/Bdhjl9PQ\/44fmu2x\/UX+a8P5Z1PZO\/grcyzByqdM+B4N5ojpXculrdMZl5Yhi9LZ+TwyN1ZrmA3\/wBLl4ufFvmbloNb3L1fpg8ScIiLTY54\/hcvGLzas77PboUjpzK6DEOgJoAg7gp4nEc\/L2cuW+tqhC558nbpjPV5tcWOexoD25q63RRJj3OFMaG+N2siEzKd3XOcLIJTDJmAvSlLETmctJbVKlCZa6YzlZDM6F+ZtG9Da1f2hp9Vr+0sKEiZhLUrbeYWTTOmdbumwHRVoQo1EREYgLTg\/bcfBZ2tLjTQSVtw8XLZr7R3W6Ru5a1oiuFyEk12eIiLQDRoppEWEDc7LVDQ9VEyju6A\/n4Jkx2L138Us8Ys0AO+lBZdjYhRcSI7G9JtNg+BISc7LEXdzbQRuS+teSVSGrvxo+X9UzIe1Vae\/qo53jQWRZ1rbVAct2u3naXKcHCstb18FMiQka6deigGykgnp4\/JBLk6nUb93jajymbFx006KXLfl1N66gnQpCIgbgm7sjwpBjmIMnZNtGyrUpG5XlvdoorhPL6FIxWAhCFGghCEAvcehEmThE30xZ9O7sht\/ZbqvDr2\/oU2V3CJck5jbz3aBt\/Zaumn4nHtHgeohfmF53u7W7hXRZgCWhnIfXi+um1q1hLGAOkLze5CxkOzio5Xgk2XO2\/OuxXoeBa7mNNmGJlEuFv2Oix8Vw4xmBdHzMMyUHMKO9d5VsjQ2jyGNJ6ufXX\/AI+KjmpzQ71Ro+1e\/ipaItGJb07207RevMOGyDiGDicyLGcqNx1DJSATp3e5VmLHyNeDiXuEpHMBkPaPS+9dvEYgBgMc8TLvUMsWs\/OJAPrcjy6\/ZZ3dOi4fD0930PvTWznEfRzY8LxGd0eWV55WkZLzTK7j02V8+E4xOxzZsS+RrqtrpiQa20XTjkPMHandn6OFBu\/8lDEsL3VynSAjo6k+Hp7n3prekfRxf7HxnVjR5uCk7B4z1cROxDTA02Gc3sg99bLqOiLX\/wB1boaDnSeN\/eVW45XEBuGY2hq43fzU+Go1P2t2ieYj6fu5PqUsZDhLECNQQ\/VSkbi3YjnPxD3zM+3ncXCvFbmujjBuSJpdRDmN8enwKDKes7zmN9mOtE+Gofe2vPMR9P3ZI4Me7E85s0gnIvmZyHajvUTBjmxvizyct7rc0OOVx7z3roYckS6vmPZ+1t0VWIH0p+ie8HWy6h+dU+Hp7p9663pH0\/dncOJ+riB88oh2yGXs15Xskx+Ow8JhZjTHGfsNmIHwVkrW00iNlixTnba\/1KqBYHNJEGh2aCT4p8PX1k+9NXjpj6Kjz2QGAYn6FxsxiQ5T1sjZSlxOMlw\/KkxcskQ0yF7iPgnzxp9M0gadln5\/IUTKS36yZ3XRmqfD09z701ucR9P3Msxc5Y98z3lgGQueSWjw7lPEHH4nLHiMTJK0agPkJA\/qpwOOXXPv9rcqT3dth7XUeHvT4enufemt6R9P3WYKMwRtGhdqfz8F04X5mA1XgubG4hzSO9bmvOTM0WvTSIiMQ+dqXnUvN7cy02kaIIOo7lG7AOqVrbDg+lALMAxpJLeaCD7ivLr1fpUf\/jY\/3w+4ryi8d6xWcQ9+hOaBCELDsEIQgFOI0+u\/RQUo\/rG+ascs3jNZa2gZQaUqHcFFnshSXofPOh3BAA7ghNAgcp8FNRSBo0fcgmhJCBoQhANjbuHHVItjJIJ2AvVNkeV1+HzRye911VafnvUEwANuqABQQAANAEaBtnYIBVve5r66eA6f8qXMbZB0pBe2geh0QVl7hYu6O\/wTa5+YCtO8jfdS5moAb+df5KJl2po111PggBzDWvmllkNWTvrqnzSdgP57aKNvoA2R10KDFICJHA73qnDHzZAwEC+9J95ze\/VSgjfJKAw0d77lw830P+rYMAytXuJ8FnxGFMIzA5m\/ctPqY35z8\/erZwThXh2py6reHnjUmJjfLDhsNz2uOfLR7lczADXO8+FJ8O+rf5qnFzSDEOAeQG7AFTaIy3M3teaxIxOEMLczTmb18F6r0OlezhMrWNH15Nk\/6WrgzHNhHE9W2t3o7h+dgXlz2holIogm+yB3+PyWq7Wc72m2nu9bzpK7ZbuKy+axvla+RwyYl\/aPXTdQidy4Ws5ufKR2q8VndM0OkAGIfZINbaru8q8uDBYwhAy6l0lCtP5JyGjTGYcBuxdrQ\/5KyOc4tcGQPJNaONXqUAujv6KNtntW7oorQJXOJa2SAE+yGi6KgJnZ3j1ouLATlayv6LMyYscM5w+UUewLKtOLia72wCdj37\/yKC+KW5G\/SYh1m9qG3VSnOaRvYcQW1YOgvTb3qhuNa4Cg\/U1qNksRlflJjc80ao18UFmQR6iFl1m1fWtjxVLyBTSMMNgbOqi6PRobC0tAvtON76jdVvrLR5DC01emm6BSYitRiI2d1Muk+eSXVNIb6NbsFTJJl3lja4WLDNUCYXfNkI7mtQaInXJmqcE69rZVYpodJ9SZLAvt0kHkPbpKaoak9yhihmcCIs5rq6kCqNuYPZG0V1Nqtz8umaFrvAWVA1WjYWj\/AFG6KLfmAa+NpdqKbaCx03YbUhadtG7qPML2Zfpjet1Srz5mF3OdQ10bWiRBd\/nO66mgg0QEgEEPGv2jasOpB7iqYhlcQGureyVY7bZFXxk6Zauxuugw0bG\/ULnRGulrfC0NdmrXztaqi8WTmzWOgCl0SDQLrqbTpaRyvSCFs2BY1xIAkB08ivL4jCGEZmnM37l6j0ih5uAjbmy1KDfuK4mSsOWPdm7JFrz6kZl6NO81iN2HDYbnhxzZa8FYzAEk5n0AdNNSp8O9l\/mFHF4mRspYw5QN\/Fc8RjLtNrzeawpiwxlle0GmtNErQeHsrR7r8VXgp2sc5shrMbs96vlw5c4yRSFrjrvokRGEva0WxM4c+VnLkLCQa6hEftt80SNc2Rwf7V6oZ7Y81nzdp8LUzZSCgzr5qa9D55ppIQSSItCEA13Q7qSg4WO4qtpLT49fFSZwL0KLXBwTVEqeT1+Pily3Eamzr1QHusG701FeKYMho0d9qUEmNy3tqb0Qaym9tUR5qObdG4PvQLI0jVxN\/wAknBujSCe5IR1W3jSbhb\/bI02HRBG479kWe8KTnNZ00onRBDWt7RJASOTQHaj16IJZraSNCO9Q5m1gWfHwtGeOjdVfxTzsIzaeaDnyHNI495tX4F7WT041mFWqp\/rnVsTarXDiXviOqmHTxGF57w7PVCqq1OUVhXAG6bVrmc2TLWd1d1qOZ1VmNd1rXVDn3Vtszw3cO+rf5rNi\/wC8v81UHOGxI8igkk2TZWc7YdIpi02dST+5n9j8Fo4HRwUjXMlcC8+z7OwXDzuqsxrzXf4BCJcE+5HtqTZproF0rObOOpTppLqQOLQ4CN0bQQdTulLiGG2dsm9coVgaGRFoJNDcmyqJntEjmuncDd00HTTv+a7PIg5jctNjlcHNHWvzsgMtxrDD3vQ8h4NuxD9BYbVbBPINxA4ku0s0gVBl22Ftt3rY1\/NGZ4ynnRtDtqG\/5tPluDG5IGitg47fNR1a6iYGHoB4nf5IJRS5i1vrDnG70Zurptcp7bgL9lZxMNziQOtNZd6LTPRYPrN\/sboM4jJbphrPc56lK2qdy4QTqc5uj8VHlggHkSOAsds0VN7CBrDGANs7rUFT3EF30kbT1ytvVREmZpudxsbBtUplj+09rsOCG2cgSc\/WjijofZa1FVOs0axD9Op2UpnOFZQHeZpRkaCAQZ3XY0RMAYgS2+tONKip+YuFsisnWzZQHW+hK3X2QG6oOmuWNp6Zj+fBRL8u0kbR1ytUAXihcz3eTVIt3aWyvF9Sol+pJmcQ07BvimGnulNfrGkE425ZARHVjUl2y0ZcwI71kDSx4Iiy62SXLa0IIwOJF9V04HBxIG43B3C5TOxM4eK68FEA963VJXgKSBsmFpHH9JIefgI25stSg7eBXmJ8IyKHNn7Q7+q9L6VuczhkZa4g84bH\/S5eQc5zjbiSfErzauOp7NGLTGc7N3DvZf5hZsZ\/en+77lUHEbEjyKCSTZNlcs7Ydopi02acJh2TMcXHXpR1C1YfDmAn6QuB6LmAkGwSD4KRlkcKL3EeasTEM3pa3nssxr2vxBymwBVqpntjzUVKPV4U5lqY6aYaGu7RHvU1Bu5UmuB2K9DwJBNIJoBCSEDtRe29RumhQQB7tCrGuvzUHjqN\/vSBvULG9V5aDLQJASMp1GgPgfFIyMAdTRp4bpmRuobqemi2iTXF138KTH4pNNtB7wgHfzQVhjw0AWNOp6piMm83Ud6jzXEaUNe7wTBc54JBHuQBiu7O47uqZi1vMfclUhHX4pGNxJ9+toJ8sZsxJtAyNBojx1VZjzZrAFk+9MxguNka61SBTNjkFuNEdQqeRGS0NcSD1V\/KF7m0+W0OvX4qTES3GpaIxEs3Jj11dp5Jctp2utPmrzyjd1uUi6Jt7fBTphe9v6qOW3v6Xv40gRtIOuwtXcxoPs6a\/enzATWUm9Nk6YO9v6qBGDXtb9y9D6PtLcC8V\/iHfyC4vMa0loaAu9wQ5sG41\/iH7grWIiWbXtaMTLc\/2HeSome5rz\/1AjGmmW1e7Yiuig90YPayB1Xqujmy8wOcc2Ke43Qyik2hpkAIxDvF2oCmXODMzsU0NHUMvZAyTOLOe9x32pBP1WANosNA3qSgMgbWVrKb8lWzIWtHKmq78Am+MZ8nIDmWBZdSCwSxNFNcwV0HRSmI5eYvIF7tVJaWPIywNb\/q3V7zUJIeGbdoBBnJbIXEMnN7gaDZMMLnFww3aJOrnV+dyqzI0tJfPKaH2BQKk2PW2xyEtO7jooHlcxxyjDsB3zGzaiX6FrsQwd2Vt0rY4WV9JA1uulm1LPAyqMY8qQYpnhwcWzSuv9QI1dD7LrrYlaJMTHRpxdX6oKpD+Y0mnDwKooyjKfo42+DjaDYAIdGB1yi9Ui3s\/UWANy7uTGZoo8pgrf8APgoqJfehmcfJqlRAtolfY+0dAjMcpJnNXWjUAhxBqV9aabFAuW0W3lNqvtPW2E20ai66LLyqsNi0rQudavw9htENGugagJuzKx3eKXQwslto6HuWHEtuIO\/VKugGYse2g4aE947lqqOuzVqkoRHSlcR1C2jg+lv6Miv\/ADh\/C5eRcACfDvK9f6Vkf2ZFf+cPucvJGQVoDddQuN4iZda3tWMRKLQHKfLHelzBeg61upgrHTDXe39UeUO8qL2ZWkiyrbScaaT3J0wd7f1QEYrcqbWhuyTXW21JIiISdS0xiZMe0gWCG7V80h7QUwtMJBNRUgqBCEIBCEIBQcKNj3qaSkxkWcpp3s34p8tvcpIQIANFAUmOvmkgbnzQQDyToQKF6qPMcN99dQFImMHWjXhaXMaNvkEDDrcKJIur9yiXSfOtkc0X7J\/P\/CBJmeOg10QIB+wBq7+aMjzXQ1rqk2V2XoSdUOfJlaRuReg6oJMjIN30708oB6+8qFyePgUmh9iyfigZjBJBcbN6eHVIRAbu62kYidqG\/wA0CI5rJG97IJOawVfXQa96WaMa0e8JOYA1oc6i3r5KYjAG\/SvcoDsVmoa\/NdjgwMuEfleWgSd3gFxqYLF11u12OEP5eEeI2g\/Sd\/gP6LUEurl0pUSMcSCI4yKGrvuVrH2Pas1rXRZ5mhxa4QGQ5RrmoLTJtMgoF8LQejQo8xznV6yA039ikgHCicPGwd7nXSlnc0AB0DKGtEbqAbI3O08+RxHQDRQc1t\/VTuN1qfxUX4kt0diqruGn50VbsXG0HmYkk0dO9UXlhDqbA3TYl3dstQLWM1oABcZ2IwtbSPrYEdFf6+wxkMieSRsAKUVrlmhcwFsrmgadm6+CoMsRNGTESE9x\/BZm4ua7Zh2jw2Vbp8S6mmSNjh30PxRG3PG4WIbDtSXupAc4DSGFg\/1a\/NYqnO8ryL3ykj3aeKr5dmnPmIHjX3nwQb3zOB7c7GNG4ACULswNyOcfFc8Qhr83LBdYol\/9Fax2LcSGuaNOrSQmVaMob7MLjWgJNJW1rfZib5m1jkw+MfIXZzfeAAkOGzO1fI4nxcUGwPHWYCjsxt0pZ2E1UrxWorslQiwz2bSBouyGt3URGdi2Z1d508EFjnBzj9Dqdac\/xVsL3MuwwC+iytilYbbGxp\/1OJ\/FXM5gkbcjKrUAb6INXNMjXNrSt08I7okwKOHOV48dFYHbhdoFpadFhgdYC3R+K6I4fpe0N4ZG5x05w0\/8XLx9xgXQoabL2fpi0O4VED\/nj+Fy8aWt69fFcr8rBF4ANDVTUOxWo+KmCCNNlhTtCSECa7MLUlBtdNKUkDO4UwfiodynV+aokNkg5w9oUO8IBtPKCbI1VEkkIvWkDSR1QgEIQgsL\/wDSVEy+XvcEUwHZvwRnaL1Gm6gbX2enuKY3KVpDcoEWDq41fwQWRjc\/NV5C4nQDVAi03QTPKF3X3oLowQfnSiIwDWbXdHKGa70QTEgJAAKiZu5uu26iHMB8r1JTL2Ed+vcgRlNHUdaQXuNEdDspF2UgVuoiXQdncD5oDM8x7m76BKnk2b0PegSgkaUKs6qT3EAEd6CAa87\/AH+Ck5hdWoBqlFr3Fw91ik3gl1i7rSlAxEa9r5eK7HB4WnDuzMDhn+dBcYteQaJ69V3uAgjBP1r6U\/cFYJaczmghjA1outFkxEwDwJJXAgAU0il0TE0u1o+61RIzLlphdYvQD+S2yyQObJq2N7qvckKZa0VUUbdNQ510nyRp9C6q+2\/+SOQ1rtBCG1s42oqD3RhpY+KI9\/br8FUGtsZMO3z7TlqeCx185rRvQbZ8E30HBrp5nEEjK3S0FAjnA7ELGmr7MYH3rQzDySsOaSTuNPA+5DcOLBbC92n2jVLVDFTKLAzXYG0HK9XiH1kjL3rKXE\/FXshAa0gPcDejWhvxW0YeTKBzA3vpql6sC8EyP0N0DoiMfIJoiC+4uenlbnByxNG22t\/8raMJCCDlNg72VcImb8tvwTA5mo0z6VpkZspRwSc0k8wjbtbLp20HVzR70jRH2vcCmBznQu7yq3QvJ0NBdBzT0a73rO5hHQe8qigQkDV5S5LOriferqI2Lfgij1cfcgp5TBs0oyC9GUrSB4n3pZR+qEA0aKoDKHH9V60NHeqzlLpmWLIBARXSw2wPet8XRcvh7y+EX9k0ulEV0hlyfTAf\/Exfvx\/C5eMcA5u9Ddey9MwTwiGv88fwuXi8m9kURS5X5agU3e+qk2q02Ucl638FJrcoq1hTQhCKBpaaXVCBk021NhzC1HopBVEq6jdMG1EOF13KVdRuqDtHwHemBWyAQRYQgEIQgEIQgzOyGOO3U5wGpOwUnVG+224Xre17q7K0fZHwTWQB1gGqRep9yVhF6nyVEDmzOIvU\/gpNzAuu9VB0tOIFaIMjr9+unigMjqG2l0pNblJNqGd52v4IGYh2h1PVAy0Ubd3\/ADTytNuJJ8lBsbuv3p5DlLb0IpBYS09brxVYczs0NxeyYZqTff8ANLlDvKgkHtOgHyUrVVMbdnQD71LO0CyaQTsItVl9Egg\/zQZKa1wG6ottdrgszGYR4IcXZzo1pJ2HcuA2TWiKK73AXPdgnloaBzDqT4BIJdRj3PJuJ7R3urX5qD4eY0DO5oFjQ7qxocD2n34AUgmmnUDXqtMqY8JEB2m2fEq1sEQ+w09ddUwRYHM1N7V03QHM1t+29mlRIMaNgB7kzQFmgoZ4i7LmBPddqAxEIa1wG4ug3Xa1BZnHQ35aptJP9QoxzB9WKP5\/kpkkAFUADr0AQ4hvtytaLroNfes2Mw0s4y81obmsD2aGUg663qbVbcGI3uecRGLeHUG3s7Np8SoNTsRh2sL3SucA3P2QTp36KcUkTsQYRGcwAcS4bg9fwWSLDwRtjYXvkyRmMChsQAffotMbcj80UD81VbidveqNdVoKCCof9Q77LGpCKZ3tTV+yEDeyx1WaTINyB5lXvw0eW5JHEDvNBQlwsLRmLfeXIMbpI27uCgcRGPtE+QVjxCxzQ1jSXAkUAbA3PzCrGLhDiGuGUV2gO\/8ApXxCCPOv2WPPuSL5OkJ95SOPYMwc11tc5prXYkfhalHiOc\/KGOA\/WsfDwQWgmtdCqwO3I7rQVpGtBQc0tc8d7AfvQa+GtrDA95K6MSycPb\/0cfiLWxgorpCOP6aEjg0RH+eP4XLxdOPl01XtPTEn+x4a354\/hcvFdojW\/Jcr8tRwYY6t1JoIFIbdapMDhvtSwqaEIQLqmEjuCmipDZOiQKNKIUmA7kqwh5b3KsCiEwqDL2rB8x3poQgEIQgEITQU8yyRVDvUA5x+0fCuuqkJGA0NNaGiDINdDoshxns0bsd6l9o+Sg2QOdQ3Uvte5UPTuSe6h8kWB1SLmmwdqtBFz3NvWxW4GyA82LJu6pSbl+zSWeidNkEWyOPh7kW89\/8AVPma+GqRkI6KAp53uvNIRurWvinndZFDTdGpY3fQ+9ACM0QSNRWyeQHr1\/FDM2btHpaiWEX7z\/JBLK0uNm\/NAEY93ily+uiBHQGtUO5BJpa6iN913+AEHBvDf8w\/cF59jADvZGi9B6P03BPAs3IfuCsEumSaOvWlCRpc2gaIcDasIv7J79SoStLgQKDtCPDVaZVNwoaSM9Ns0B0u7\/D4JiLNbg6jd2BSBBIRq\/TervX82perNpocQa7x4qhNiihaLkNA3djdD44eW3tUQNCD0\/JCBh2NNucTXf3Xak6OINLnEvyNF0UE4XMc6g0ts1qN\/wA6q8tOQi9gqmuhZsdR2tiff5aq0SB7zHdGkCfFEXku3JHVBEDaB5earokXShNhWyuEzn5DkAzd41NG9xqsTo42yhjCyRlhwcZqJN2KDQeru\/uTA2RY6BzCRmaA3MRl2FA\/\/wBBRnx5a9zGRF4F6frDKTp7xX4LHJLEyEubHC7Qkdku0qxqT1yjoeivjE0j2sBnyZ6Jb2dAQPsgVpr5K4FrsTi25yIsrScrc4oA3W5rQ7+\/3LW1rvWYXOFOdG4OHcdD\/NY4sDiHkF8bGGjUlAuBodTZ3ta8IyQTt5kgkc1riSDYFkafIqwLcQwERuMmTI8OBIsbEa\/Fc+XC4ZjXSyYs0bBNiiDbvye4DuXRxkbJICJHEMzNNjwIKwSNwLYRbnyscacbrZhPSt22sjK\/1NmRrLc\/UCrBNmiNPHRZWz4N0UZbh2Gw3Q1TQez17vu8FbjThC9ojaWU453Cswdmbpr4m78FLDwYaSIPDHmyRT3k7GvLorsKpMbyHuPLa1gzXfeDvfvVkM882VwjHLcR2gOnfv5\/1WuLCws9iBjfJoCm8gDK0UOqYgVxttx7kph9KB3xu\/BWxMNWeqhiW5XxO6HM34j+ig3YFtYOH9kLSN1VhB\/0kP7A+5XLojiemBrhMN\/54\/hcvGlxBFC\/Fex9LyP7Liv\/ADx\/C5ePDxpQ0XK\/LUcI5nedeCYzZuteSA+60oFBeQSANlhU0IQgTtkwg7KIQTCm3ZQCkw9OqomEwkFJUCEJoBCEIBCEIM5a1pBO\/mgiMb170jESNSPOk+V3nwWROh0CD7Q8k0juEECwl13SXLA0Ltk3BxeCEFpc6yK070DDADYKC1hOp1PikGENLb06IEZ7\/wA2gLZ2iBdC0B4FaADzQI6BFnUUnlbq02euqoQeKOmoFlDX5iQBWiZyCySNUDKHgADzUEC85dHWb66aItw11KkXgHQaf1RzB3Gu9AnlxHYtFPLXfK0Z7IrQX8UOe4E1Wn8kCyOP\/K9BwFlYJ4zlv0p0HkFwLdfXWtQF3+APe3BydguPMP3BWCXY6BReCbANEgqGeYjSMNPiVIF2marN7bLbKkRSk252n6pcapAgtwBe0kEGj52pMZMXW4nStCfj+KBh3W08yqN13iqAUB6sxoOZ+1Hsiqr\/AJU42whr282m1RB0r82hmFoEF+7S3RtbqxuHZlIDiKdZqtD3f0VAG4cGyS77OhJ67aeKvZFGw2Br4klVR4aE5Wg2WbdrUb\/zWoDwCDDjsPFKGB83KfkIYSNNstn\/AHbJMGCbI4g82zmofZNF1+fVacQ2HKx05cKJAy+f9FjxTY31FhWkH7VxZiO6i7br0O6AjxUfMPquEvYWG6j2e79r5FWNxsonYJpI4mh2rNMxHaGxN\/qn3pR4WxU+Si3aaW6\/8fZ+SkQYW5Y8UyIX\/hxUBY8Fdk3QjBmlgaWvLgwsfJy31ehzWRX2fiVtwkDYMU+TnscZWNblAA1bpY17lCCCLERNc50sgGnaJF\/m1oZFh46cGsBH2nHb3lPkJ4jIYH8wEsqyAdVzZY2OcWRskdHmGUNiB6ZTq670voNNF05PqiWuAtthw1rxXPtsgvnYmUdzG1rd\/gmRTJh3b8l7XF1dqWr3OwIChmextOkgjaABo7UeHyV74mZW1hJnUezmcQdhqVmkaY2UcPAwDo911vqfn81MyqqbEOa7KcTqTWVrNbv+iUbngO5bJXkgG36fndRe8GT60ts6Bjd7\/wCUw2OR1uhneCd3aCig3wl5b9IwNPcDaOICsC1\/Vso+4pYdz36uYGgGhTrVvEG3w13hR+aDXhq9Wir9QfcrVm4e7Ngoj4UtC6MuH6X1\/ZUebbnD+Fy8ecg3r716\/wBLhm4XFf8AnD+Fy8hkG9nVcr8txwCQNhZ8EZ9LpBy7khBygaBYaTtCTSHDRSQChsVNRdo5BIKQAI1UArGqobMwJB1HQqaiFIKhoQhAIQhAIQhBU3bXdNCFkCR3CEIIvflIGmqiHvobXXxQhAWcryCe8EjwRTydzSEKhBhrXurdSawg3ohCgQj01d8vBSayiDZKEIDI0XZ+aRDB3IQgMzQ4jKjOBZA66lCECMlfZ+a7vA52twbw4gfSaD3BCFYJdJsnMGYE0rGCyPNCFpFDRPzRnxMYAOrbq9UU5tNfi3aEA5Wm\/ihCIsMDCAS7ESWLu\/vVrcJFJMC6B5adSXEjp3bIQg0w4bDwOuNjWnvtXgjoEIVEZqbGXGXlU7f3LC8+sOFvmn\/ZblahCC9sLuWG+qta3XV7s3xF96zDGyPYOWxsdgVlbld\/7UhC1EbZRF8s0oBIfJWoom9fAA93ercNh5uaS+CNzSCC0g66g3qfDuQhTKuq1oa0AAAAUAOi57Hh7SPXJXGv1CPC0IURF3LFjJi3Bx3PnaxSMAa7LhgNj9K+\/jfgShCKpdK5uhxDGNraNup+SkaeDbcRL3XoEIUGzDsZE0NjZlvUglasWLwUg\/0FCFRDhLrwQHcStqELcI4fpdZ4XFX+cPf2XLyGTQWRoKQhc78tRwAzvKRa29HbdUIWGkm5QaCmEIQCTxpaEIEFYxCFUTCkEIVDQhCAQhCBoQhB\/9k=\"\/><\/p>\n<h3>Liabilities and ownership in machine-to-machine payments<\/h3>\n<p>In machine-to-machine payments for connected vehicles, liability hinges on who owns the transaction trigger. If your EV initiates a charging payment, you\u2019re liable for that automated contract. <strong>Ownership of the payment token<\/strong> determines fault\u2014when a vehicle\u2019s system, not the driver, authorizes a toll, the owner bears responsibility for disputes or double-charges. <mark>Fleet operators<\/mark> must clarify whether the car or the driver\u2019s wallet owns the session.<\/p>\n<p><strong>Q: Who pays if a hacked vehicle sends a fraudulent parking payment?<\/strong><br \/>A: Liability falls on the entity owning the payment key\u2014usually the vehicle owner, unless the OEM\u2019s hardware was compromised.<\/p>\n<h2>Data Privacy and Security as Economic Foundations<\/h2>\n<p>In the <strong>Connected vehicles Economy of Things USA<\/strong>, data privacy and security aren&#8217;t just legal boxes to check\u2014they&#8217;re the actual bedrock of trust that makes the whole system function. If your car\u2019s sensor data gets leaked or its payment system is hacked, you\u2019re not just annoyed; you stop using the service entirely. That kills revenue before it starts. <\/p>\n<blockquote><p>Without ironclad security on your vehicle\u2019s data streams, the entire Economy of Things collapses\u2014nobody pays for a service they can\u2019t trust with their location or payment info.<\/p><\/blockquote>\n<p> For this economy to work practically, every data transaction\u2014from tolling to energy trading\u2014must feel as safe as a bank transfer. If users fear their driving habits or wallet credentials are exposed, they won&#8217;t opt in, stranding the economic model at the curb.\n<\/p>\n<h3>Zero-trust architectures for transactional integrity<\/h3>\n<p>In the connected vehicle Economy of Things, zero-trust architectures ensure transactional integrity by continuously verifying every data exchange, even within the network perimeter. Each microtransaction\u2014from a toll payment to a software update\u2014is subject to an explicit authentication and authorization step, preventing malicious actors from assuming trust based on location or prior access. This approach enforces <strong>continuous validation of every transaction request<\/strong> without assuming a secure internal or external link. A compromised vehicle node cannot corrupt ledger entries because zero-trust segments access to only the specific data needed for that single transaction, using <mark>cryptographic attestation<\/mark> to confirm the integrity of the exchange before approval.<\/p>\n<h3>Consumer consent models for location and behavior data<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"Connected vehicles Economy of Things USA\" 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\"\/><\/p>\n<p>Consumer consent models for location and behavior data in the U.S. connected vehicle Economy of Things must move beyond one-time opt-in to granular, session-based permissions tied to specific data uses, such as route optimization versus insurance scoring. <strong>Granular consent architecture<\/strong> allows drivers to toggle access for individual data streams\u2014like speed, braking patterns, or geo-fence crossing\u2014directly from the vehicle\u2019s interface, revocable at any moment without affecting core navigation. <em>This shifts the economic value exchange from blanket data capture to transactional authorization for each trip or service.<\/em><\/p>\n<ul>\n<li>Opt-in by data category (e.g., location history vs. real-time telematics) rather than a single permission<\/li>\n<li>Time-bound consent windows (one drive, one week, perpetual with immediate revocation)<\/li>\n<li>Third-party data broker disclosure within the consent flow, not in a separate privacy notice<\/li>\n<li>Visual or voice-based consent prompts triggered by specific behaviors, such as hard braking or parking location<\/li>\n<\/ul>\n<h3>Blockchain ledgers for fraud-resistant exchanges<\/h3>\n<p>Blockchain ledgers for fraud-resistant exchanges in the Connected Vehicles Economy of Things USA operate by creating an immutable, timestamped record of every micro-transaction between vehicles, infrastructure, and service providers. Each data transfer\u2014such as a toll payment or V2G energy credit\u2014is cryptographically hashed and appended to a block, which is then validated across the distributed network before finalization. This prevents double-spending, unauthorized alteration of transaction histories, or insertion of counterfeit records by malicious nodes. <strong>Fraud-resistant exchanges<\/strong> rely on consensus mechanisms that automatically reject any block not matching the network\u2019s verified state, ensuring that only legitimate, cryptographically signed transactions are finalized. The ledger\u2019s transparency allows any node to audit exchange records independently, eliminating reliance on a central authority. A key <mark>consensus protocol<\/mark> ensures transaction finality within seconds, critical for dynamic mobility payments. <\/p>\n<p><b>How does a blockchain ledger prevent a malicious vehicle from claiming the same parking payment twice?<\/b> The ledger\u2019s timestamped blocks enforce a unique, non-repudiable sequence, so any duplicate claim is rejected by the network because the original transaction\u2019s hash already occupies that block position\u2014making the second attempt invalid before it propagates.<\/p>\n<h2>Emerging Use Cases Across American Cities<\/h2>\n<p>In American cities, <strong>connected vehicles are transforming into mobile nodes for the Economy of Things<\/strong>. In Austin, fleets of delivery rovers and taxis are being used as roaming environmental sensors, checking air quality and road conditions in real time. San Francisco is piloting vehicle-to-cart systems where food trucks and delivery bots negotiate parking and right-of-way via short-range vehicle links. Meanwhile, Denver is turning parked electric vans into temporary charging stations for e-bikes and scooters, using their built-in batteries as shared micro-grid assets. These use cases show cars and trucks acting less like transport and more like moving infrastructure for city services, energy, and data. It&#8217;s about the vehicle itself becoming a practical tool for urban logistics and utility.<\/p>\n<h3>Smart corridors in Texas facilitating instant toll settlements<\/h3>\n<p>In Texas, smart corridors leverage connected vehicle technology to enable <strong>instant toll settlements<\/strong> without requiring drivers to slow down or stop. Vehicle-to-infrastructure (V2I) communication transmits encrypted payment credentials directly to toll gantries, which deduct fees from a linked digital wallet in real time. This eliminates the need for physical transponders or manual billing, as the system cross-references vehicle identity with a pre-authorized account. The process occurs at highway speeds, reducing congestion at toll plazas and ensuring frictionless passage across urban corridors like those in Dallas and Houston.<\/p>\n<ul>\n<li>V2I protocols authenticate and settle tolls in under 200 milliseconds per transaction<\/li>\n<li>No account registration or sticker transponder required; the vehicle\u2019s digital identity handles payment<\/li>\n<li>Failed payments trigger automatic wallet top-up notifications instead of citations<\/li>\n<li>Corridor infrastructure updates pricing per lane in real time based on congestion algorithms<\/li>\n<\/ul>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"563\" height=\"319\" src=\"https:\/\/www.youtube.com\/embed\/S8q32B4qkbo\" frameborder=\"0\" alt=\"Connected vehicles Economy of Things USA\" allowfullscreen><\/iframe>\n<\/div>\n<h3>Last-mile delivery bots paying for curb access in San Francisco<\/h3>\n<p>In San Francisco, last-mile delivery bots participate in a dynamic curb pricing system where operators pay for access based on demand and location. This model allocates scarce curb space by requiring bots to transact for designated loading zones <strong>via a connected vehicle platform<\/strong>. A typical sequence includes: <\/p>\n<ol>\n<li>the bot\u2019s routing system queries real-time curb availability through a city-managed API;<\/li>\n<li>the platform calculates a fee based on time of day and zone occupancy;<\/li>\n<li>the operator\u2019s account is debited instantly, authorizing the bot to park and complete the drop-off.<\/li>\n<\/ol>\n<p><em>The transaction occurs without human intervention, enabling precise billing per stop.<\/em> This direct, usage-based payment ensures bots access curbs only as needed, reducing idle congestion while supporting efficient delivery workflows.<\/p>\n<h3>EV charging networks in California as revenue hubs<\/h3>\n<p>California\u2019s EV charging networks are evolving into <strong>revenue hubs for connected vehicles<\/strong> by monetizing dwell time. During the 20\u201345 minute charging session, the vehicle\u2019s embedded telematics broker data offload, remote diagnostics, and over-the-air firmware updates to local enterprise servers, generating per-MB or flat-fee revenue for the network. Operators also authorize high-bandwidth video streaming and real-time telemetry relays to fleet managers, billing the connected vehicle\u2019s digital wallet. The charger serves as a physical gate for value-added services, such as dynamic load-shaping payments from utilities or instant delivery locker fees, all settled via the vehicle\u2019s identity token.<\/p>\n<p><strong>Q: How does a California charging hub directly generate revenue beyond electricity sales?<\/strong><br \/>A: By acting as a localized data exchange\u2014the hub sells data throughput packages to OEMs and app providers, charges session-based SaaS fees for fleet telemetry processing, and collects micro-transaction commissions from third-party services (e.g., in-car food ordering) that activate only while the vehicle is plugged in.<\/p>\n<h2>Technologies Powering the Value Chain<\/h2>\n<p>Within the connected vehicles economy of things USA, <strong>edge computing<\/strong> powers the value chain by processing sensor data locally, reducing latency for real-time transactions like tolling or parking payments. Telematics control units (TCUs) form the hardware backbone, integrating cellular connectivity (C-V2X) and GPS for vehicle-to-infrastructure communication. <strong>Blockchain-based smart contracts<\/strong> automate microtransactions between vehicles and charging stations, ensuring trustless settlement without intermediaries. Over-the-air (OTA) update platforms allow remote reconfiguration of vehicle keys or service subscriptions, while digital twin software simulates traffic flows to optimize delivery routes. All layers rely on unified API gateways to connect OEMs, insurers, and mobility providers.<\/p>\n<h3>5G network slicing for low-latency exchanges<\/h3>\n<p>5G network slicing creates dedicated, isolated virtual networks over a shared physical infrastructure, enabling <strong>ultra-reliable low-latency exchanges<\/strong> critical for connected vehicles. Each slice is configured with specific QoS parameters\u2014for instance, a slice dedicated to collision avoidance can guarantee sub-10ms latency and 99.999% reliability by allocating radio resources and edge computing capacity exclusively for that data flow. This ensures that emergency braking signals from a vehicle are processed before non-critical infotainment data. Operators dynamically adjust slice bandwidth and latency budgets based on real-time geographic traffic density, maintaining deterministic performance across different road segments.<\/p>\n<ul>\n<li>Dedicated slices isolate vehicle-to-everything (V2X) safety messages from less time-sensitive telemetry traffic.<\/li>\n<li>Edge-based slice orchestration processes data locally to avoid round-trips to a central core network.<\/li>\n<li>Network slices can be provisioned on-demand for temporary high-density events like autonomous convoys or emergency corridors.<\/li>\n<\/ul>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"603px\" alt=\"Connected vehicles Economy of Things USA\" 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\"\/><\/p>\n<h3>Digital twins simulating traffic and payment flows<\/h3>\n<p>Digital twins within the Connected Vehicle Economy of Things<strong> dynamically synchronize traffic and payment flows<\/strong> into a unified simulation. By modeling real-time vehicle positions against tolling or charging infrastructure, the twin predicts congestion and pre-validates payment authorization before a transaction occurs. This allows the value chain to reconcile a completed micro-transaction against the exact traffic event that triggered it, such as a peak-time lane entry. The simulation continuously adjusts predicted payment amounts based on traffic density, ensuring the driver is debited only for the actual service consumed.<\/p>\n<ul>\n<li>Mirrors current traffic density to forecast payment authorization windows for toll lanes.<\/li>\n<li>Reconciles completed micro-transactions against the specific traffic event that initiated them.<\/li>\n<li>Adjusts simulated toll amounts in real-time based on changing congestion levels.<\/li>\n<\/ul>\n<h3>Artificial intelligence for predictive maintenance billing<\/h3>\n<p>In the connected vehicle economy, AI for predictive maintenance billing automates invoicing based on real-time diagnostic data. The AI analyzes sensor inputs to predict component failures, generating a <mark>proactive service quote<\/mark> before a breakdown occurs. This system directly links diagnostic events to billing codes, enabling automatic deduction from digital wallets or smart contracts. The user receives an itemized bill for pre-emptive repairs, avoiding unplanned downtime. <strong>Usage-based billing models<\/strong> leverage this AI to calculate charges precisely from vehicle health data, not estimated mileage, ensuring transparent, dynamic pricing for maintenance services.<\/p>\n<h2>Challenges to Scalability and Adoption<\/h2>\n<p>The quiet hum of a connected fleet in the American Midwest stalls on a dusty rural highway where <strong>network infrastructure gaps<\/strong> create dead zones, bricking real-time payments between semis and roadside chargers. Scaling the Economy of Things here demands that every sensor-laden vehicle, from delivery vans in Seattle to farm trucks in Kansas, speaks a unified language\u2014yet proprietary data protocols fragment the ecosystem, forcing <mark>integration costs that choke small fleet operators<\/mark>. A driver\u2019s in-vehicle wallet cannot trust a gas pump\u2019s transaction if a passing storm disrupts the decentralized ledger\u2019s sync, making <strong>interoperability bugs<\/strong> a daily friction. Adoption falters not from lack of vision, but from the gritty reality: a single failed micro-payment at a busy intersection erodes user confidence faster than any road repair.<\/p>\n<h3>Legacy vehicle integration hurdles<\/h3>\n<p>Integrating older vehicles into the Connected Economy of Things hits a hard wall with <strong>aftermarket telematics retrofit complexity<\/strong>. These cars lack native digital architectures, forcing reliance on OBD-II ports that offer inconsistent data access and limited control over core vehicle functions. Owners face compatibility gaps where a 2015 model cannot communicate with modern IoT infrastructure without expensive, proprietary hardware. This creates a fragmented ecosystem where legacy fleets remain isolated, undermining the network density needed for scalable services like real-time traffic orchestration or decentralized energy trading.<\/p>\n<ul>\n<li>Inconsistent CAN bus protocols across pre-2020 models require custom firmware per vehicle brand.<\/li>\n<li>Power-draining aftermarket dongles often conflict with older electrical systems, causing battery drain.<\/li>\n<li>Physical installation of retrofits in dashboard voids can void remaining warranty and requires skilled labor.<\/li>\n<\/ul>\n<h3>Chip supply constraints affecting hardware deployment<\/h3>\n<p>Chip supply constraints are directly hitting hardware deployment for connected vehicles in the U.S. Economy of Things. Without enough <strong>reliable automotive-grade chips<\/strong>, manufacturers can\u2019t install the roadside units or in-vehicle telematics modules needed for real-time data exchange. This creates a practical bottleneck: hardware rollouts stall, and existing fleet upgrades get delayed. When chips are scarce, you face a clear sequence:<\/p>\n<ol>\n<li>Prioritize chip allocation for critical safety systems over new deployment.<\/li>\n<li>Switch to less optimized chips, which risk compatibility issues with existing infrastructure.<\/li>\n<li>Accept longer lead times for any new hardware, pushing adoption timelines further out.<\/li>\n<\/ol>\n<h3>Consumer trust in automated financial decisions<\/h3>\n<p>Consumer trust in automated financial decisions is a critical barrier to scaling the connected vehicle Economy of Things. Users must accept that their vehicle will autonomously execute micro-transactions, such as paying for tolls or energy, without manual approval. This <a href=\"https:\/\/www.topionetworks.com\">Philippe Cases<\/a> requires <strong>transparent transaction logic<\/strong>, where the user understands how and why a fee is deducted. Without clear visibility into the decision-making algorithm, drivers will reject the convenience in favor of manual control. The system\u2019s reliability directly dictates trust; any error in an automated payment erodes confidence in all future machine-driven financial choices.<\/p>\n<ul>\n<li>Demand for real-time receipts and audit trails after each automated payment<\/li>\n<li>Need for user-defined spending limits to prevent unexpected overdrafts<\/li>\n<li>Requirement for a manual override option in case of suspected faulty logic<\/li>\n<\/ul>\n<h2>Future Trajectories for Asset-Light Mobility<\/h2>\n<p>Future trajectories for asset-light mobility in the U.S. connected vehicle Economy of Things will pivot on dynamic digital twin ecosystems. Vehicles, as mobile assets, will be unlocked for micro-tasks like cargo transfer or mobile power storage without owner involvement. <strong>Q: How will asset-light models scale?<\/strong> A: Through autonomous vehicle-as-a-service fleets that self-negotiate tasks, performing hyperlocal deliveries or data collection trips, then return to shared hubs, maximizing utilization per vehicle per day across multiple users without human oversight.<\/p>\n<h3>Subscription models bridging personal and shared ownership<\/h3>\n<p>Subscription models in the connected vehicle Economy of Things directly dismantle the binary of personal versus shared ownership by offering <mark>dynamic access<\/mark> to varying vehicle tiers based on real-time need. A user might individually subscribe to a compact EV for daily commuting, yet seamlessly upgrade to a larger SUV for a weekend trip via the same platform, effectively treating the vehicle as a service rather than an asset. This <strong>bridges personal and shared ownership<\/strong> by letting individuals maintain a persistent, customized digital account while the physical vehicle fleet shifts between private use and temporary shared access across a network.<\/p>\n<ul>\n<li>A single subscription account grants priority access to a dedicated personal vehicle while also unlocking pooled community vehicles for errands.<\/li>\n<li>Users can temporarily pause their personal subscription, releasing that vehicle into a shared pool for others while retaining their usage credits.<\/li>\n<li>Vehicle customization profiles (seat position, climate presets) follow the user across both personally subscribed and shared fleet vehicles.<\/li>\n<\/ul>\n<h3>Cross-sector bundling with smart city services<\/h3>\n<p>Cross-sector bundling with smart city services integrates connected vehicle data into municipal operations, enabling <strong>unified platform subscriptions<\/strong>. For example, a single mobility account could bundle dynamic parking pricing, real-time traffic signal prioritization, and curbside waste collection alerts. <em>This collapses several municipal touchpoints into one vehicle-based interface, simplifying user payments and data consent.<\/em> Bundling follows a clear sequence:<\/p>\n<ol>\n<li>Vehicle detects available curb space via embedded sensors.<\/li>\n<li>Platform cross-references parking and waste pickup schedules.<\/li>\n<li>User receives a combined fee for parking and future collection service.<\/li>\n<li>City updates traffic light timing based on aggregated vehicle flow data.<\/li>\n<\/ol>\n<p>This creates a seamless, multi-service experience without separate municipal app registrations.<\/p>\n<h3>Secondary markets for vehicle-generated data streams<\/h3>\n<p>In the future of asset-light mobility, your car\u2019s data becomes a product itself on secondary markets. Instead of just powering your navigation, streams like braking patterns or battery health are sold to mechanics for proactive car care. This creates a true <strong>user-controlled data economy<\/strong>, where you decide which anonymized streams are shared\u2014think opting your driving behavior into a parking app\u2019s congestion model for a small perk. It\u2019s a practical swap: your vehicle\u2019s honest, real-time metrics become a passive asset you profit from, no ownership burdens attached.<\/p>\n<h2>What Makes the Connected Vehicle Economy of Things a Unique Ecosystem<\/h2>\n<h3>How Data From Moving Cars Becomes a Tradable Asset<\/h3>\n<h3>Key Components That Power the Vehicle-as-a-Service Model<\/h3>\n<h2>Core Features That Define This Economy of Things Platform<\/h2>\n<h3>Real-Time Asset Tracking and Verification Mechanisms<\/h3>\n<h3>Automated Microtransaction Settlement Between Vehicles and Infrastructure<\/h3>\n<h2>How to Begin Participating in the Fleet Data Marketplace<\/h2>\n<h3>Setting Up Onboard Hardware for Secure Data Exchange<\/h3>\n<h3>Connecting Your Vehicle to Revenue-Generating Networks<\/h3>\n<h2>Practical Benefits for Owners and Fleet Operators<\/h2>\n<h3>Monetizing Idle Vehicle Sensors Without Impacting Performance<\/h3>\n<h3>Reducing Operational Costs Through Predictive Data Sharing<\/h3>\n<h2>Common Challenges and How to Overcome Them<\/h2>\n<h3>Addressing Bandwidth Limits When Offloading High-Volume Vehicle Data<\/h3>\n<h3>Maintaining Privacy Controls in a Shared Economy Network<\/h3>\n<h2>Tips for Maximizing Value From This Mobile Economy Network<\/h2>\n<h3>Choosing Which Data Streams to Prioritize for Highest Returns<\/h3>\n<h3>Integrating Third-Party Applications Into the Vehicle Economy Hub<\/h3>\n","protected":false},"excerpt":{"rendered":"<p>The Connected Vehicle Economy of Things Is Reshaping Americas Roads Right Now Connected vehicles Economy of Things USA is a system where your car becomes an active economic node, securely transacting data and services with smart infrastructure around it. This transforms your vehicle from a simple machine into a revenue-generating asset, automatically paying for things [&hellip;]<\/p>\n","protected":false},"author":75,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1613","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=\/wp\/v2\/posts\/1613","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=\/wp\/v2\/users\/75"}],"replies":[{"embeddable":true,"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1613"}],"version-history":[{"count":1,"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=\/wp\/v2\/posts\/1613\/revisions"}],"predecessor-version":[{"id":1614,"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=\/wp\/v2\/posts\/1613\/revisions\/1614"}],"wp:attachment":[{"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1613"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1613"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ubuntupennsylvania.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1613"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}