V2V Maneuver Sharing Using Target Road Resource Negotiation
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Solution Overview
Problem
Existing vehicle-to-vehicle (V2V) communication systems face challenges in efficiently negotiating and coordinating maneuvers among multiple vehicles due to the dynamic nature of moving vehicles, leading to network and processing resource consumption.
Innovation Solution
A method where a vehicle initiating a maneuver transmits an intended maneuver message identifying target road resources, and other vehicles respond with acceptance or rejection based on dynamic and contextual information, allowing efficient sharing and coordination of maneuvers without excessive resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If V2V communication systems negotiate and coordinate maneuvers among multiple vehicles using traditional methods, then maneuver coordination is achieved, but network and processing resources are excessively consumed
Solution Approach 1:
The patent segments the maneuver negotiation process into distinct phases: intent transmission, response collection, and coordination execution. By dividing the communication process into discrete stages with specific objectives, the system reduces unnecessary back-and-forth negotiations and minimizes resource consumption while ensuring reliable maneuver coordination.
Solution Approach 2:
The system performs preliminary actions by having vehicles transmit their intended maneuvers and target road resources in advance before actual maneuver execution. This allows other vehicles to prepare responses and adjust their plans proactively, reducing the need for last-minute communication and resource-intensive real-time negotiations.
2Measurement precision
If V2V systems consider dynamic and contextual information from all vehicles for maneuver negotiation, then coordination accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent applies local quality by having each vehicle evaluate and respond to maneuver requests based on its own local dynamic and contextual information (such as its current state, intended maneuvers, and target road resources) rather than processing all possible data from all vehicles. This selective, localized information processing maintains coordination accuracy while significantly reducing processing complexity.
Solution Approach 2:
The system uses partial action by requiring vehicles to provide only the specific dynamic and contextual information relevant to the maneuver negotiation at hand, rather than exchanging complete vehicle state data. This selective information exchange achieves sufficient coordination accuracy without the computational burden of processing excessive data.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an intended maneuver message for a maneuver of a vehicle associated with the UE, wherein the intended maneuver message identifies one or more target road resources associated with the maneuver, receive, from one or more other UEs, one or more responses to the intended maneuver message, and perform an action based at least in part on receiving the one or more responses to the intended maneuver message. Numerous other aspects are provided.