Page 816 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

• Conduct full-scale pilot deployments in real-world, multi-vehicle traffic scenarios to
evaluate system performance and scalability.

Technology Upgrades and Data Needs:
• Upgrade edge computing nodes to enable faster, more localized processing and real-
time decision-making.
• Enhance AI model robustness by training with context-aware road data that covers
diverse weather conditions and terrain types.
• Ensure seamless interaction between V2V and V2I systems through synchronized data
exchange protocols.
• Collect and process high-resolution traffic, sensor, and environmental data for improved
AI learning and adaptability.

3 Use Case Requirements

• REQ-01: It is critical that the system supports real-time communication within a minimum
100-meter range to enable vehicles to exchange critical data quickly and reliably.
• REQ-02: It is mandatory that vehicles are equipped with GPS and onboard sensors to
ensure accurate tracking, positioning, and real-time environmental awareness.
• REQ-03: It is critical that communication protocols align with global Vehicle-to-Vehicle
(V2V) standards, ensuring system interoperability, compatibility, and scalability across
different regions and manufacturers.
• REQ-04: It is mandatory that AI decision-making processes are completed within 500
milliseconds to support rapid, time-sensitive actions and ensure safety in dynamic driving
environments.
• REQ-05: It is critical that the system functions reliably in diverse weather conditions,
including fog, rain, and heat, to maintain consistent performance on Indian roads and
other challenging environments.
• REQ-06: It is mandatory to implement strong data privacy and cybersecurity measures
to safeguard sensitive vehicle and user data from unauthorized access, breaches, or
misuse.

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