ADAS Behavior Coordination Using V2X for Collision-Free Trajectories
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Solution Overview
Problem
It is challenging to coordinate the behaviors of various types of vehicles on a roadway, including autonomous, semi-autonomous, and human-driven vehicles, to reduce collision risk and ensure that each vehicle's driving preferences and intentions are respected while maintaining overall traffic safety and compliance with traffic rules.
Innovation Solution
A machine learning system and client that generate and transmit V2X data to determine an individual optimum vehicle behavior, considering driving intentions and preferences, and modify vehicle control systems to achieve an overall optimum regional behavior without collisions, ensuring each vehicle's needs are met without interfering with others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If individual vehicle behaviors are optimized to satisfy customized driving needs, then driving preference satisfaction is improved, but coordination difficulty increases making collision risk reduction more challenging
Solution Approach 1:
The patent introduces a centralized server as an intermediary that receives V2X data from multiple vehicles, processes coordination information, and generates optimized behavior instructions. This mediator resolves the contradiction by centralizing the complex coordination task, allowing individual vehicles to maintain their customized needs while the server ensures overall collision-free coordination through centralized decision-making.
2Reliability
If V2X communication is used to coordinate vehicle behaviors, then collision risk reduction is improved, but communication data requirements increase
Solution Approach 1:
The patent extracts only the essential coordination information from V2X data—specifically customized needs, current behavior, and trajectory information—rather than transmitting all available vehicle data. This selective extraction maintains collision risk reduction through necessary coordination while minimizing communication data volume by transmitting only the critical parameters needed for safe coordination.
3Adaptability or versatility
If individual optimum behaviors are determined for each vehicle, then customized need satisfaction is improved, but system complexity increases
Solution Approach 1:
The patent segments the system into two distinct functional parts: individual vehicle units that determine their own optimum behaviors based on customized needs, and a centralized server that handles coordination. This segmentation allows each vehicle to independently satisfy its customized needs while the server manages the complex coordination task, distributing system complexity rather than concentrating it in single vehicle units.
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.