Use cases

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The ecosystem supports a wide range of use cases tailored to meet the needs of various stakeholders.

Use case groups

Predictive Maintenance

Real-time diagnostics allow service providers and fleet managers to identify potential failures before they occur. This reduces downtime, optimizes repairs, and enhances vehicle reliability.

Personalized Insurance

Driving behavior data enables insurers to calculate premiums tailored to individual drivers, rewarding safe behavior and lowering costs.

Navigation and Traffic Management

Live location data improves route optimization, helping reduce travel time and fuel consumption. Aggregated traffic data assists city planners in reducing congestion.

Urban Planning and Sustainability

Governments and municipalities access anonymized vehicle data to plan infrastructure, optimize traffic flows, and monitor emissions.

Emergency Response

Crash and hazard alerts allow emergency services to respond faster and more accurately, potentially saving lives.

Fleet Management

Fleet operators monitor performance metrics across vehicles, ensuring cost-effective operations and compliance with maintenance schedules.

Data Marketplace

OEMs, researchers, and service providers can buy and sell data on a neutral marketplace, enabling innovation and revenue generation.

User Stories and Associated Tasks

Car Owners (Drivers)

use cases

As a driver, I want to control who accesses my car’s data so that I can protect my privacy

tasks

• Develop a user-friendly consent dashboard for granting/revoking access.
• Notify users about data usage and provide transparency logs.

OEMs (Car Manufacturers)

use cases

As an OEM, I want to monetize vehicle data so that I can create new revenue streams

tasks

• Implement secure APIs for third-party data access.
• Develop a pricing model for data packages.
• Integrate payment systems for data monetization.

Service Providers

use cases

As a service provider, I want to access vehicle diagnostics data so that I can offer predictive maintenance

tasks

• Create APIs for requesting diagnostic and real-time vehicle data.
• Ensure data requests comply with user consent and SLAs.

Regulators

use cases

As a regulator, I want to audit data-sharing activities so that I can ensure compliance with laws

tasks

• Maintain tamper-proof logs of all data transactions.
• Provide reporting tools for regulators to analyze data usage.

Developers

use cases

As a developer, I want access to sample datasets so that I can prototype innovative applications

tasks

• Provide sandbox environments with anonymized datasets.
• Document APIs and offer technical support for integration.

Core Features

Unified Data Access Platform

• Centralized hub with APIs to access standardized data formats like VSS.
• Supports secure, real-time, and batch data sharing.

Consent and Privacy Management

• Transparent dashboards for users to manage data-sharing permissions.
• Compliance with GDPR and EU Data Act for privacy safeguards.

Monetization and Analytics

• Tools for OEMs to package and sell data.
• Analytics to track usage, revenue, and compliance metrics.

Neutral Marketplace

• Platform for data producers and consumers to exchange data under clear SLAs.

Technical Framework

• Data Standardization - Adopt Vehicle Signal Specification (VSS) to ensure interoperability across OEMs.
• APIs and Developer Tools - Offer comprehensive API documentation, SDKs, and testing environments for service providers and developers.
• Compliance Tools - Enable real-time auditing, user consent tracking, and SLA enforcement.
• Security and Privacy - Implement encryption, access controls, and multi-factor authentication for all ecosystem participants.
• Marketplace Integration - Provide a neutral marketplace for data transactions, including pricing, licensing, and SLA management.

Conclusion

This connected vehicle ecosystem addresses critical challenges while unlocking unprecedented opportunities for all stakeholders. By combining standardization, security, compliance, and innovation, the ecosystem ensures that vehicle data becomes a valuable resource for economic growth, public good, and user empowerment.

Data Owners

1. Car Owners (Drivers):

   • Grant/revoke consent for data access: Control who can access their vehicle’s data.
   • Manage multiple vehicle profiles: Maintain data-sharing preferences for multiple vehicles.

2. OEMs (Car Manufacturers):

   • Monetize vehicle data: Provide controlled access to vehicle data under specific terms.
   • Enable secure third-party integrations: Support APIs for trusted third-party services.
   • Provide vehicle updates and diagnostics: Ensure vehicles receive real-time software updates and diagnostics.

Service Providers

1. Insurance Companies:

   • Analyze driving patterns for personalized insurance: Use driving data to offer tailored premiums.

2. Maintenance and Repair Services:

   • Request diagnostic data for maintenance: Access fault codes to streamline repairs.
   • Receive predictive maintenance alerts: Use real-time performance data to proactively service vehicles.

3. Navigation and Mapping Services:

   • Access location data for navigation: Provide optimized routes using live location data.

4. Mobility Providers (Ride-sharing/Car-sharing):

   • Access real-time vehicle usage for ride-sharing: Track vehicle availability and usage metrics.

5. Aggregators and Analytics Providers:

   • Analyze aggregated data for insights: Use combined data sets for industry or service improvements.

Developers

1. App Developers:

   • Build innovative applications using vehicle data: Leverage APIs to create user-focused apps.

2. AI Model Creators:

   • Train AI models with historical vehicle data: Access anonymized data sets for training.

Communities and Public Services

1. City Planners:

   • Analyze traffic for urban development: Study aggregated traffic data for better urban planning.

2. Emergency Services:

   • Access real-time data during emergencies: Use vehicle data for faster emergency response.

3. Environmental Agencies:

   • Monitor emissions and energy consumption: Use vehicle data to develop eco-friendly policies and incentives.

Fleet Managers

1. Fleet Management Services:
   • Access fleet performance data: Monitor performance metrics across an entire fleet.
   • Track vehicle diagnostics in real-time: Use real-time data to ensure fleet health and uptime.
   • Schedule predictive maintenance across fleets: Prevent breakdowns by analyzing trends across vehicles.

Platform Operators

1. Ecosystem Managers:
   • Monitor compliance with SLAs: Enforce service-level agreements within the ecosystem.
   • Manage onboarding of new users and services: Ensure seamless integration of ecosystem participants.

Regulators

1. Regulatory Bodies:
   • Audit data access logs for compliance: Verify adherence to privacy and data-sharing laws.

Data Monetization

1. Data Marketplaces:

   • Facilitate data buying and selling: Provide a marketplace for data exchange among members.

2. Third-Party Analytics Providers:

   • Aggregate and resell data insights: Package and sell actionable insights derived from raw data.

Telecommunications Providers

1. Enable low-latency data streaming: Ensure real-time data transfer for navigation and safety systems.
2. Support edge computing for real-time analytics: Process data locally to reduce cloud dependency.

Cloud and Infrastructure Providers

1. Host vehicle data lakes and enable AI/ML workloads: Provide the infrastructure for large-scale data storage and analysis.
2. Support API delivery for third-party developers: Offer scalable platforms for ecosystem participants.

Payment and Financial Service Providers

1. Process microtransactions for data access: Enable pay-as-you-go models for accessing specific data sets.
2. Facilitate secure financial transactions: Provide blockchain or traditional payment solutions for data monetization.

Consumer Advocacy Groups

1. Advocate for consumer rights: Ensure privacy and transparency in data usage.
2. Influence policy development: Represent drivers' interests in regulatory discussions.

Edge Device Manufacturers

1. Develop on-vehicle data gateways: Enable preprocessing of data for safety-critical applications.
2. Optimize in-vehicle analytics: Support features like collision detection and driver assistance.

Media and Advertising Platforms

1. Deliver personalized content to vehicles: Provide location-based and preference-based media services.
2. Monetize infotainment systems: Collaborate with OEMs to offer in-vehicle advertising.

use cases - communication centered

There are various use cases someone can think of. The idea is to collect them and group them around how the data access must be organized to generate the value out of it.

1. "ghost driver warning" all cars in the vicinity of the "ghost driver" shall be warned
2. road block ahead - same as above
3. weather/road condition warning - is not as immediate as the use cases above
4. driving behaviour statistics
5. ...

For different use cases different access methods to the data must be available.

emergency broadcast

The immediate (low latency) warning must be triggered by car2car or car2x as a broadcast, receivers determine their position to determine the correct reaction.

Additionally should the cloud be used to broadcast the data to a broader audience as a warning.

weather warnings, data collection ...

The higher latency data access should be relayed via the cloud and distributed from there to preserve bandwith.

single use cases

The following use-cases will be required (open list):

1. OEM onboarding
2. service provider onboarding
3. data source onboarding
4. service onboarding

In the OEM cloud we assume the following:

1. a managed set of cars
2. a managed set of users and drivers
3. a mapping from user/drivers to cars
4. a consent registry and
5. storage of consent data

In the service provider cloud we assume the following

1. a managed set of users
2. a managed set of subscriptions
3. a mapping from services to subscriptions and users

This represents the initial thoughts on this ecosystem. Over the time new requirements may evolve.

car owner onboarding (OEM cloud)

In this use case the car owner registers his car in the manufacturers cloud. This step is required to allow mapping from users to a car. Also it is required because users must provide consent to data collection for a purpose, not cars! Usually done at the car dealer. There can be multiple users for a car, managed in profiles probably. For data collection all users need to consent.

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service user onboarding (3rd party service provider ecosystem)

A car owner registers himself for the use of the service. The service provider needs to onboard the user in his ecosystem and link the user and his car to the car manufacturers cloud environment. The following figure describes the flow.

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service user onboarding (OEM cloud, direct car access)

service user onboarding (OEM cloud, indirect car access)

service onboarding (OEM cloud)

A new service requires an onboarding as well. Differences between service offerings may require changes in the contracts as well. To access more data, will require customers consent and the ccapability of the OEM cloud to provide the data.

The service provider will have to provide all the required data, add requested datapoints and billing information (and others).

car manufacturer onboarding (hosted)

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