ADAS Behavior Coordination for V2X Vehicle Trajectory Control
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Solution Overview
Problem
It is challenging to coordinate the behaviors of diverse vehicles on a roadway to minimize collision risks while respecting individual driving intentions and preferences, particularly when drivers make independent decisions that may conflict with others.
Innovation Solution
A machine learning system and client that generate and transmit V2X data to determine an individual optimum vehicle behavior, ensuring no collisions and satisfying each vehicle's customized needs within a region, using V2X communication to modify vehicle control systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicles make independent driving decisions based on individual preferences, then each vehicle can satisfy its customized driving needs, but collision risk increases due to lack of coordination
Solution Approach 1:
The patent introduces a central server as an intermediary that receives driving preference data from multiple vehicles, processes this information, and generates coordinated behavior recommendations. This mediator enables vehicles to maintain their customized preferences while coordinating actions to prevent collisions, resolving the contradiction between individual adaptability and collective safety.
Solution Approach 2:
The system implements a feedback loop where vehicles transmit their driving preferences and state information to the server, receive coordinated behavior recommendations, and implement these recommendations. The continuous exchange of information allows the system to adapt to changing conditions while maintaining both individual preferences and collision avoidance.
2Reliability
If a centralized system coordinates all vehicle behaviors, then collision risk is reduced, but system complexity and communication requirements increase
Solution Approach 1:
The patent employs a universal communication protocol and data format that allows the system to handle multiple vehicle types and driving scenarios through a single coordinated framework. This multi-functionality reduces the need for specialized coordination mechanisms for different situations, thereby simplifying the overall system complexity while maintaining comprehensive collision avoidance capabilities.
3Adaptability or versatility
If vehicles transmit detailed customized driving data, then individual preferences are accurately represented, but communication bandwidth and data processing requirements increase
Solution Approach 1:
The system extracts only the essential driving preference parameters needed for coordination from the full set of possible vehicle data. By identifying and transmitting only the critical preference elements (such as preferred speed ranges, lane selection preferences, or routing preferences) rather than all possible vehicle operational data, the system maintains accurate representation of individual preferences while significantly reducing communication bandwidth requirements.
Data Source
AI summary
The disclosure includes embodiments for providing optimum vehicle behaviors in a region. In some embodiments, a method for a connected vehicle includes transmitting, via a Vehicle-to-Everything (V2X) communication, V2X data that includes customized data describing a customized need of the connected vehicle. The method includes receiving, via the V2X communication, vehicle behavior data describing an individual optimum behavior for the connected vehicle that is determined based at least in part on the V2X data. The method includes modifying an operation of a vehicle control system of the connected vehicle based on the vehicle behavior data so that the connected vehicle implements the individual optimum behavior. An implementation of the individual optimum behavior by the connected vehicle contributes to an achievement of an overall optimum behavior of a region where the connected vehicle is located while the customized need of the connected vehicle is also satisfied.