{"id":780,"date":"2026-07-31T07:31:38","date_gmt":"2026-07-31T07:31:38","guid":{"rendered":"http:\/\/t-hueller.de\/?p=780"},"modified":"2026-07-31T07:31:38","modified_gmt":"2026-07-31T07:31:38","slug":"the-shifting-landscape-data-driven-mobility-as-a-national-asset","status":"publish","type":"post","link":"http:\/\/t-hueller.de\/index.php\/2026\/07\/31\/the-shifting-landscape-data-driven-mobility-as-a-national-asset\/","title":{"rendered":"The Shifting Landscape: Data-Driven Mobility as a National Asset"},"content":{"rendered":"<p>The Connected Vehicle Economy of Things in the USA Is Here\u2014Unlock Its Potential 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>What if your connected vehicle could earn money while you drive, turning miles into value within the USA\u2019s Economy of Things? This system transforms cars into digital nodes that autonomously trade data, energy, and resources with other smart devices for real-time cash or credits. By leveraging secure blockchain ledgers and <strong>vehicle-to-everything (V2X) communication<\/strong>, it empowers you to monetize unused battery power, sensor data, or bandwidth effortlessly. Simply activate your car\u2019s integrated wallet, and it begins negotiating and transacting value without any manual intervention.<\/p>\n<h2>The Shifting Landscape: Data-Driven Mobility as a National Asset<\/h2>\n<p>The shifting landscape redefines the connected vehicle from a transport tool into a national asset through the Economy of Things. Your vehicle\u2019s operational data\u2014telemetry, energy flow, and route patterns\u2014becomes a deployable resource for grid balancing and infrastructure diagnostics. <strong>Prioritize data sovereignty in your embedded systems to preserve asset value<\/strong>; retaining control over when and how this data is brokered determines your return. <strong>Treat your vehicle\u2019s battery as a distributed utility node<\/strong>, offering surplus capacity to stabilize local grids during peak loads. <em>You are not merely driving a route; you are walking an economic stake in the national mobility fabric.<\/em><\/p>\n<h3>Monetizing Telemetry: How Vehicle Data Becomes a Tradable Commodity<\/h3>\n<p>Your car&#8217;s every move becomes a valuable data stream. Telemetry on speed, braking, and location is anonymized and bundled into <strong>tradable vehicle data commodities<\/strong> for insurers or smart-city planners. You essentially lease your driving patterns for perks like lower premiums or free parking.<\/p>\n<ul>\n<li>Braking and acceleration data helps insurers reward safe driving with discounts.<\/li>\n<li>Real-time location feeds optimize traffic flow, trading your route for fuel savings.<\/li>\n<li>Battery and odometer telemetry creates a digital health passport for used-car buyers.<\/li>\n<\/ul>\n<h3>The Federal Mandate: V2X Deployment and its Economic Ripple Effects<\/h3>\n<p>The feds pushing V2X deployment creates a real economic shift for drivers. When your car talks to traffic lights, you waste less fuel sitting at reds\u2014<strong>direct cost savings<\/strong> per trip add up. This network also lowers wear on brakes and tires by anticipating stop patterns. Money saved from fewer crashes and reduced congestion loops back into local economies. The ripple effect works in a clear sequence:<\/p>\n<ol>\n<li>Your commute gets shorter, saving fuel and time.<\/li>\n<li>Fewer idling cars cut maintenance costs for you.<\/li>\n<li>Avoided accidents lower insurance premiums and repair bills.<\/li>\n<li>All that freed-up cash flows to other daily spending.<\/li>\n<\/ol>\n<h3>Beyond the Dashboard: Real-Time Fleet Intelligence as Infrastructure Revenue<\/h3>\n<p>Beyond the Dashboard transforms connected vehicle telemetry into a direct revenue stream for infrastructure owners by selling anonymized, real-time fleet intelligence. This data, including precise vehicle weight, road surface friction, and traffic flow patterns, allows transportation agencies to dynamically price road usage and optimize maintenance schedules. Municipalities can monetize this <strong>real-time fleet intelligence<\/strong> by offering premium data packages to logistics operators for route efficiency, effectively turning a city\u2019s road network into an active, revenue-generating asset within the broader Economy of Things.<\/p>\n<h2>Interconnected Ecosystems: The Transactional Layer of Road Networks<\/h2>\n<p>The pavement beneath your tires is no longer just asphalt; it&#8217;s a living <strong>interconnected ecosystem<\/strong> pulsing with micro-transactions. As your connected vehicle navigates a highway in the USA, it negotiates with the road itself\u2014paying a fraction of a token for priority lane access while simultaneously selling its real-time traction data to a municipal traffic controller. This <strong>transactional layer of road networks<\/strong> turns every mile into an economy where cars buy safe following distances from a logistics drone and rent a reserved charging slot from the grid. You don&#8217;t stop at a toll booth; you simply drive through a digital marketplace where your vehicle&#8217;s sensors, battery, and route choices become tradeable assets within a constantly settling ledger of motion and energy.<\/p>\n<h3>Smart Tolling and Dynamic Pricing: From Transponders to Instant Smart Contracts<\/h3>\n<p><strong>Smart Tolling and Dynamic Pricing<\/strong> evolves from physical transponders to <mark>instant smart contracts<\/mark> on distributed ledgers. Vehicles automatically negotiate toll rates based on real-time congestion, route demand, and available credits in their wallet. Instead of fixed fees, dynamic pricing adjusts per kilometer or time slot, billed instantly via the vehicle&#8217;s identity. A driver approaching a peak-hour bridge sees a higher rate, but rerouting to an alternate path triggers a lower price, settled without manual payment. This system uses vehicle-to-infrastructure data to execute micropayments, eliminating toll booths and post-paid invoices.<\/p>\n<p><strong>Q: How do smart contracts change toll pricing?<\/strong> A: They automate rate negotiation and instant settlement based on network load, so drivers pay exact, variable prices per trip without human interaction.<\/p>\n<h3>Logistics Autonomy: Micro-Payments for Right-of-Way and Cargo Prioritization<\/h3>\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<p>Within the connected vehicle ecosystem, logistics autonomy utilizes micro-payments to dynamically negotiate right-of-way and prioritize cargo. A delivery truck hauling perishable goods can automatically bid for a green-light sequence at an intersection, settling the fee via smart contract. Similarly, high-priority shipments, such as medical supplies, trigger premium payments to reserve a clear lane or expedite a loading dock slot. This transactional layer ensures <strong>cargo prioritization payments<\/strong> are settled instantly between vehicles and infrastructure, allowing fleets to optimize transit times for time-sensitive loads without human negotiation, purely through automated, per-use pricing.<\/p>\n<h3>Parking as a Digital Asset: Automated Bidding and Space Utilization Markets<\/h3>\n<p>In the U.S. connected vehicle ecosystem, your car\u2019s parking spot becomes a tradeable digital asset through automated bidding. As you approach a destination, your vehicle enters a real-time space utilization market, competing with nearby cars for the optimal slot. <strong>Dynamic pricing algorithms<\/strong> adjust bids based on distance, time-of-day, and demand. The process follows a clear sequence: <\/p>\n<ol>\n<li>your car broadcasts its parking intent and willingness-to-pay<\/li>\n<li>the network matches it with vacant spaces confirmed by sensor data<\/li>\n<li>the highest bidder secures the spot via smart contract.<\/li>\n<\/ol>\n<p> <em>You might even let your car earn credits by leasing your driveway space to other vehicles while you\u2019re out.<\/em><\/p>\n<h2>Critical Infrastructure and Trustless Exchanges<\/h2>\n<p>In the Connected vehicles Economy of Things USA, critical infrastructure like road-charging grids and traffic-management sensors must communicate with vehicles via <strong>trustless exchanges<\/strong> that verify data integrity without requiring central authority. Each vehicle-to-infrastructure transaction\u2014whether paying for kilowatt-hours or reporting road hazards\u2014uses cryptographic proofs instead of third-party validation, eliminating latency while preventing tampering. <strong>Smart contract protocols<\/strong> on these trustless networks automate settlement for services like dynamic tolling or prioritized charging slots, ensuring infrastructure operators receive immediate, irreversible payment. <em>However, the sheer throughput demand from millions of concurrent vehicle interactions creates a bottleneck that current consensus mechanisms must solve without sacrificing the deterministic finality essential for safety.<\/em> Your vehicle\u2019s onboard system directly authenticates with roadside units using these exchange layers, enabling real-time resource allocation without exposing personal or network credentials.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"609px\" alt=\"Connected vehicles Economy of Things USA\" 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\"\/><\/p>\n<h3>Blockchain for V2G Transactions: Bidirectional Energy Trading at the Curb<\/h3>\n<p>Blockchain enables direct, trustless vehicle-to-grid (V2G) transactions by recording each kilowatt-hour exchanged between an EV and the grid on an immutable ledger. Smart contracts automatically execute payments when a connected car discharges stored energy during peak demand, settling in <mark>cryptocurrency<\/mark> or stablecoins at the curb without intermediary utilities. This system uses cryptographic proofs to verify power flow and driver identity, allowing any parked EV to sell excess battery capacity to local homes or charging hubs. <strong>Bidirectional energy trading at the curb<\/strong> thus transforms idle vehicles into decentralized, verifiable grid assets within the connected vehicles Economy of Things USA.<\/p>\n<blockquote><p>Blockchain for V2G transactions automates settlement and verification of bidirectional energy flows, enabling any curb-parked EV to participate in peer-to-peer power markets without centralized oversight.<\/p><\/blockquote>\n<h3>Cybersecurity as a Service: Protecting the Flow of Value Between Mobile Nodes<\/h3>\n<p>In the Connected Vehicles Economy of Things USA, <strong>Cybersecurity as a Service (CSaaS)<\/strong> secures value flow between mobile nodes by deploying real-time cryptographic handshakes each time a vehicle transacts with a roadside unit or another node. This service-layer approach continuously validates the integrity of data packets\u2014such as payment credentials or energy credits\u2014without relying on a central authority. <em>Every mobile node must maintain an active session key that expires within milliseconds to prevent replay attacks across the shifting network topology.<\/em> The CSaaS model abstracts patch management and anomaly detection into a subscription, ensuring that value transfers remain unforgeable as the node\u2019s physical location changes. <b>Q: How does CSaaS prevent a compromised mobile node from corrupting value flow between honest nodes?<\/b> A: It isolates the compromised node by revoking its cryptographic certificate at the edge, then re-routes transactions through a redundant mesh of verified nodes until the threat is neutralized.<\/p>\n<h3>Digital Twin Economies: Simulating and Auditing Toll and Data Fee Structures<\/h3>\n<p>Digital twin economies let you run a virtual simulation of your actual commute to check toll and data fees before you drive. By mirroring your car\u2019s route and connected services, you can audit every micro-transaction\u2014like a V2I toll or a cloud navigation fee\u2014against the real bill. To verify a specific fee structure, you\u2019d <strong>audit digital twin fee simulations<\/strong> in this sequence:  <\/p>\n<ol>\n<li>Load your vehicle\u2019s digital twin with your exact route and service usage from the past week.<\/li>\n<li>Replay the trip in the simulation to see each toll and data charge applied.<\/li>\n<li>Compare the simulated total to your actual invoice, flagging any mismatch for refund or correction.<\/li>\n<\/ol>\n<p>This keeps fee structures transparent without needing a third-party auditor.<\/p>\n<h2>Urban and Suburban Monetization Models<\/h2>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"565\" height=\"312\" src=\"https:\/\/www.youtube.com\/embed\/HM_z1GsnRGU\" frameborder=\"0\" alt=\"Connected vehicles Economy of Things USA\" allowfullscreen><\/iframe>\n<\/div>\n<p>In dense urban cores, connected vehicles monetize through micro-transactions for dynamic curb access, such as using a vehicle&#8217;s sensor data to bid on a delivery slot for a 15-minute loading zone. Suburban models shift to aggregating fleet telemetry for subscription-based services, like neighborhood-specific traffic smoothing that saves residents time. <strong>This creates a layered revenue stream where city drivers pay per-use for premium digital rights<\/strong>, while suburban systems generate recurring income from community-level data pooling. <em>The true value lies not in the vehicle itself, but in its role as a mobile probe for localized economic flows<\/em>. <strong>Both models rely on the vehicle&#8217;s ability to broker small, frequent transactions<\/strong> with municipal infrastructure and local businesses. This bifurcation means a single car could generate urban spot-payments during a commute, then shift to suburban subscription-mode once parked at home.<\/p>\n<h3>Municipal Data Brokering: Licensing Road Condition and Traffic Flow Streams<\/h3>\n<p>Municipalities license <mark>real-time road condition and traffic flow streams<\/mark> to connected vehicle operators, who pay for direct data feeds to enhance route navigation and hazard avoidance. This creates a recurring revenue model where cities broker aggregated sensor data, such as pavement temperature or intersection congestion levels, without selling raw individual vehicle logs. For drivers, <strong>licensed urban data streams<\/strong> enable adaptive routing that bypasses potholes or sudden slowdowns, reducing wear and travel time. A municipal data broker thus acts as a neutral intermediary, standardizing access to anonymized roadway metrics while preserving civic data ownership.<\/p>\n<h3>Insurance Telematics 2.0: Real-Time Risk Pools and Usage-Based Settlement<\/h3>\n<p>Insurance Telematics 2.0 shifts from periodic policy reviews to <strong>dynamic risk pooling based on real-time driving data<\/strong>. Vehicles transmit speed, braking, and cornering metrics to insurers, who instantly assign policyholders to fluid risk groups. This enables usage-based settlement, where premiums are calculated per trip rather than monthly; a smooth highway commute generates a lower rate than aggressive urban driving. Claims adjust automatically using telematics logs, eliminating manual fault disputes and reducing settlement cycles from weeks to minutes.<\/p>\n<blockquote><p>Insurance Telematics 2.0 uses real-time driving data to create fluid risk pools, enabling per-trip usage-based settlement that adjusts premiums and automates claims instantly.<\/p><\/blockquote>\n<h3>Infrastructure-as-a-Service: Privately Funded Smart Roads with Usage Fees<\/h3>\n<p>Under <strong>privately funded smart roads with usage fees<\/strong>, Infrastructure-as-a-Service directly monetizes connected vehicle operations by charging per-mile or per-trip tolls that dynamically adjust based on real-time congestion and energy transfer. Drivers pay for precise lane access, guaranteed throughput, or inductive charging while moving, with fees deducted automatically via in-vehicle wallets linked to the Economy of Things. <em>This model transforms roadway maintenance and capacity expansion into a direct revenue stream without relying on public tax allocation.<\/em> Usage data flows bidirectionally: vehicles receive optimized routing in exchange for payment, while road operators leverage granular traffic patterns to price infrastructure demand.<\/p>\n<h2>Cross-Sector Value Chains Emerging from Mobility<\/h2>\n<p>In the Connected vehicles Economy of Things USA, cross-sector value chains emerge when your car\u2019s mobility data directly powers services outside transport\u2014like a smart parking lot billing your vehicle\u2019s wallet for charging. Your EV\u2019s battery capacity, for instance, could sell energy back to a grid operator while parked. <strong>Q: How does a connected car actually create value for a utility?<\/strong> A: By acting as a mobile energy node, it shares real-time battery status, enabling the utility to balance load without building new infrastructure. This practical link turns daily driving into a revenue stream for you and efficiency for another sector.<\/p>\n<h3>Retail and Drive-Through Automation: Direct Billing Through Vehicle IDs<\/h3>\n<p>Retail and drive-through automation in the connected vehicle economy leverages <strong>direct billing through vehicle IDs<\/strong> to eliminate payment friction. A vehicle\u2019s digital identity is authenticated at the point of order, linking the purchase to a pre-registered payment method without driver intervention. This creates a seamless experience: a customer orders via a vehicle interface, the drive-through sensors validate the ID at the pick-up window, and the transaction settles automatically. This same tokenized ID enables secure, instant billing across multiple retailers, removing the need for wallets or cards. The result is faster service throughput and a confirmed, zero-touch transaction every time.<\/p>\n<h3>Media and Content Licensing: In-Cabin Experiences as a Commerce Channel<\/h3>\n<p>In the U.S. connected vehicle Economy of Things, media and content licensing transforms in-cabin infotainment into a direct <strong>commerce channel<\/strong>. Mobility providers license streaming services and branded content, embedding purchase triggers within entertainment. When a passenger hears a song or sees a product in a video, the system facilitates an immediate transaction via integrated payment profiles. The sequence is: first, the vehicle licenses context-aware media; second, the system overlays commerce prompts during content playback; third, the passenger confirms the purchase through voice or touch. This converts idle travel time into a licensable, revenue-generating retail environment.<\/p>\n<h3>Emergency Service Prioritization: Premium Response Networks and Right-of-Way Credits<\/h3>\n<p>In the connected vehicle economy, <strong>premium response networks<\/strong> let drivers pay for prioritized emergency dispatch, cutting wait times during a crisis. Your car\u2019s sensors detect a crash, instantly signaling a private network that coordinates with local responders and clears a path via dynamic right-of-way credits. You earn these credits by yielding lane access to other premium vehicles or emergency units, redeeming them later for faster response when needed. This system turns every vehicle into an active node, <a href=\"https:\/\/www.topionetworks.com\">Philippe Cases<\/a> letting you trade small delays now for a critical speed advantage during your own emergency.<\/p>\n<blockquote><p>Premium response networks and right-of-way credits put you in control of emergency speed, letting you earn and spend priority access when every second matters.<\/p><\/blockquote>\n<h2>Regulatory Frameworks and Interstate Commerce<\/h2>\n<p><strong>Regulatory frameworks<\/strong> governing <strong>connected vehicles<\/strong> in the Economy of Things (EoT) must address <strong>interstate commerce<\/strong> by ensuring seamless data interoperability across state lines. Vehicle-to-everything (V2X) communications require <strong>standardized protocols<\/strong> for telemetry and payment data to avoid conflicts between differing state laws. <mark>The lack of a unified federal mandate on spectrum allocation<\/mark> forces connected vehicle operators to comply with varying state privacy and liability rules when crossing borders. This patchwork directly impacts the routing of EoT transactions, as data flows must adapt to state-specific requirements for data ownership and accident liability.<\/p>\n<h3>Data Sovereignty Across State Lines: Uniform Rules for Mobile Digital Wallets<\/h3>\n<p>For connected vehicles operating in the U.S., <strong>Data Sovereignty Across State Lines: Uniform Rules for Mobile Digital Wallets<\/strong> ensures that driver credentials and payment authorizations remain valid when a vehicle crosses from one jurisdiction into another. Without uniform interstate rules, a wallet authenticated in Texas could be rejected by a tolling or refueling node in Oklahoma. Practical user impact centers on seamless transaction continuity; the wallet must hold a single federated identity that every state\u2019s infrastructure recognizes. This eliminates the need for a driver to manually re-register payment methods per state, preserving real-time micropayments for charging, parking, and road usage without jurisdictional friction.<\/p>\n<ul>\n<li>Uses a single, state-agnostic digital credential for all interstate toll and energy transactions<\/li>\n<li>Prevents wallet lockout when the vehicle\u2019s location data shifts across a state border<\/li>\n<li>Ensures transaction logs follow uniform privacy rules, so driver consent is not reset at each state line<\/li>\n<\/ul>\n<h3>Antitrust Concerns in Vehicle Generated Marketplaces<\/h3>\n<p>Antitrust concerns in vehicle-generated marketplaces arise when dominant automakers or data aggregators control critical <mark>data access<\/mark>, enabling them to unfairly price or exclude third-party services. A connected vehicle can become a captive platform if the manufacturer dictates which repair shops, insurers, or content providers can bid for user attention. This creates a monopolistic funnel, where <strong>interoperability standards<\/strong> are deliberately absent. To avoid market lock-in, owners must evaluate whether their vehicle\u2019s ecosystem allows rival offers to compete in real time. Without enforced data portability, a single entity can impose anti-competitive fees or self-preference its own services, stifling new entrants.<\/p>\n<ol>\n<li>Check if the automaker restricts app or data sharing to proprietary partners only.<\/li>\n<li>Verify that you can switch service providers without losing vehicle functionality.<\/li>\n<li>Demand transparent pricing for data usage across competing marketplace vendors.<\/li>\n<\/ol>\n<h3>Taxation of Machine-to-Machine Transactions Within Moving Platforms<\/h3>\n<p>In the U.S. connected vehicle Economy of Things, taxation of machine-to-machine transactions within moving platforms faces a unique jurisdictional challenge: the transaction occurs as the vehicle crosses state lines. A single data exchange for a toll or charging service might be taxed by multiple states if each claims nexus based on the fleeting presence of the moving platform. The core practical issue is determining which state\u2019s sales tax applies to a micro-transaction initiated in one jurisdiction and completed in another, requiring a transaction-splitting framework. <strong>Dynamic nexus triggers for machine-to-machine tax<\/strong> are a primary user concern, as drivers risk being liable for taxes from every state the vehicle passes through during a single session, complicating invoice reconciliation for commercial fleets.<\/p>\n<table>\n<tr>\n<td>Factor<\/td>\n<td>Static Location<\/td>\n<td>Moving Platform<\/td>\n<\/tr>\n<tr>\n<td>Nexus basis<\/td>\n<td>Fixed address for durable goods<\/td>\n<td>Transient presence at time of M2M data packet<\/td>\n<\/tr>\n<tr>\n<td>Tax apportionment<\/td>\n<td>Single jurisdiction<\/td>\n<td>Proportional across traveled states per micro-transaction<\/td>\n<\/tr>\n<tr>\n<td>User compliance burden<\/td>\n<td>One tax return per transaction<\/td>\n<td>Multi-state allocation for each in-vehicle token exchange<\/td>\n<\/tr>\n<\/table>\n<h2>Scalability and the Transition to Full Autonomy<\/h2>\n<p>Scalability in the connected vehicle ecosystem for the <strong>Economy of Things USA<\/strong> requires that data ingestion and edge computing capacity expand proportionally with vehicle density, ensuring real-time processing for <mark>millisecond-latency autonomy maneuvers<\/mark>. The transition to full autonomy hinges on a distributed ledger architecture, which enables micro-transactions between vehicles and infrastructure without centralized server overload. This shift demands that each autonomous unit possess sufficient local processing power to execute <strong>vehicle-to-everything (V2X)<\/strong> decision-making independently, while uploading only critical summary data to the cloud. Scalability failures occur when network bandwidth cannot support simultaneous sensor-streaming from thousands of vehicles in a single urban corridor, making dynamic <strong>mesh network partitioning<\/strong> a practical necessity for safe autonomy transition.<\/p>\n<h3>Robotaxi Fleets as Floating Marketplaces: Predictive Maintenance and Revenue Sharing<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"Connected vehicles Economy of Things USA\" 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\"\/><\/p>\n<p>Robotaxi fleets operate as floating marketplaces where real-time sensor data enables <strong>predictive maintenance revenue sharing<\/strong>, directly linking vehicle upkeep to driver earnings. Each autonomous vehicle continuously streams component health metrics to a centralized platform, which calculates maintenance schedules based on utilization and projected income loss. When a brake sensor predicts failure within 200 miles, the system automatically reroutes the robotaxi to a depot during low-demand periods, splitting the avoided repair costs between fleet operators and drivers. This creates a closed loop: uptime maximizes marketplace transactions, and shared savings incentivize proactive care. <strong>Q: How does predictive maintenance affect driver pay?<\/strong> A: It increases hourly income by reducing unplanned downtime, as maintenance is scheduled during non-peak hours, preserving high-revenue trip windows.<\/p>\n<h3>Certifying Payment Authenticity for Unmanned Vehicle Negotiations<\/h3>\n<p><mark>Cryptographic attestation<\/mark> underpins certifying payment authenticity during unmanned vehicle negotiations, ensuring that a drone or AV can prove a transaction is valid without human oversight. For these machine-to-machine micro-payments, each negotiation must embed a <strong>verifiable credential<\/strong> tied to the vehicle\u2019s digital identity, which the counterparty validates via a distributed ledger or off-chain oracle. Without this step, a rogue vehicle could inject fake payment proofs, breaking trust in the autonomous economy. Practical implementations rely on hardware-secured enclaves to sign the payment instruction, timestamp it, and append a nonce that prevents replay attacks, thereby guaranteeing that only authorized, funded negotiations proceed to settlement.<\/p>\n<h3>Asset Tokenization: Fractional Ownership of Smart Highway Capacity<\/h3>\n<p>Asset tokenization converts a smart highway\u2019s peak capacity into divisible digital tokens, enabling fractional ownership. Instead of paying per-trip tolls, a user purchases tokens representing a specific time-slot or throughput share on that highway segment. This pre-allocates bandwidth for autonomous convoys, guaranteeing passage during congestion. A token smart contract automatically executes payment when a vehicle\u2019s digital twin enters the slot. <strong>Fractional highway capacity tokens<\/strong> can be resold peer-to-peer, allowing owners to monetize unused slots. <b>Q: How does fractional ownership improve autonomous fleet efficiency?<\/b> A: It lets an owner lease spare tokenized capacity to a second fleet in real time, preventing empty highway slots during non-peak hours.<\/p>\n<h2>What Defines a Connected Vehicle in the Economy of Things Framework<\/h2>\n<h3>How vehicles become monetizable data nodes within the U.S. economy<\/h3>\n<h3>The core components that turn a car into an economic asset<\/h3>\n<h3>Understanding the difference between standard connectivity and Economy of Things integration<\/h3>\n<h2>How to Activate Your Vehicle for the Economy of Things Ecosystem<\/h2>\n<h3>Step-by-step setup for enabling data sharing on your connected car<\/h3>\n<h3>Choosing the right telematics hardware for maximum participation<\/h3>\n<h3>Configuring your privacy settings without sacrificing earning potential<\/h3>\n<h2>Key Features That Drive Value from Connected Vehicles in the U.S. Market<\/h2>\n<h3>Real-time data streams that generate revenue while you drive<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"Connected vehicles Economy of Things USA\" 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\"\/><\/p>\n<h3>Automated smart contracts that handle payments and permissions<\/h3>\n<h3>Cross-platform interoperability between vehicle brands and service providers<\/h3>\n<h2>Practical Benefits of Joining the Vehicle-Based Economy of Things<\/h2>\n<h3>Turning idle parking time into passive income opportunities<\/h3>\n<h3>Using your car\u2019s sensors for urban infrastructure and logistics insights<\/h3>\n<h3>Reducing ownership costs through data monetization and microtransactions<\/h3>\n<h2>Common User Questions About Vehicle Integration with the Economy of Things<\/h2>\n<h3>Can older model vehicles participate or only new electric cars<\/h3>\n<h3>How to track your vehicle\u2019s data contributions and earnings in real time<\/h3>\n<h3>What happens to your data when you sell or trade in the vehicle<\/h3>\n","protected":false},"excerpt":{"rendered":"<p>The Connected Vehicle Economy of Things in the USA Is Here\u2014Unlock Its Potential Now What if your connected vehicle could earn money while you drive, turning miles into value within the USA\u2019s Economy of Things? This system transforms cars into digital nodes that autonomously trade data, energy, and resources with other smart devices for real-time [&hellip;]<\/p>\n","protected":false},"author":27,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-780","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/posts\/780","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/users\/27"}],"replies":[{"embeddable":true,"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/comments?post=780"}],"version-history":[{"count":1,"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/posts\/780\/revisions"}],"predecessor-version":[{"id":781,"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/posts\/780\/revisions\/781"}],"wp:attachment":[{"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/media?parent=780"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/categories?post=780"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/t-hueller.de\/index.php\/wp-json\/wp\/v2\/tags?post=780"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}