Collective Perception Message Prioritization for Congested V2X Channels
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Solution Overview
Problem
In congested V2X wireless channels of cooperative intelligent transport systems, significant information packets, including Collective Perception Messages (CPMs), are indiscriminately dropped due to channel capacity limitations, leading to potential loss of critical safety-related data.
Innovation Solution
A method and system that calculates a collective perception message significance index (CPM-SI) for each message, prioritizing the transmission of CPMs with the highest significance index based on object data factors such as kinematics, novelty, detection confidence, and channel availability, ensuring important information is transmitted while managing channel resources effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all collective perception messages are transmitted in congested V2X wireless channels, then information completeness is improved, but channel congestion increases and message delivery reliability deteriorates
Solution Approach 1:
The patent applies parameter changes by calculating a significance index for each collective perception message based on multiple parameters including object kinematics, novelty, detection confidence, and spatial relationships. Messages are then transmitted prioritized by this significance index, changing the transmission parameter from uniform broadcasting to selective prioritized transmission, thereby resolving the contradiction between information completeness and delivery reliability in congested channels
2Reliability
If collective perception messages with high significance index are prioritized for transmission, then message delivery reliability is improved, but information completeness may deteriorate due to potential drops of lower priority messages
Solution Approach 1:
The patent applies segmentation by dividing the set of collective perception messages into priority levels based on their significance indices. High significance messages are transmitted first and prioritized, while lower significance messages are transmitted subsequently. This segmentation allows the system to ensure reliable delivery of critical safety information while still transmitting less critical but relevant information, thereby resolving the contradiction between delivery reliability and information completeness
Data Source
AI summary
A method of exchanging information between stations in a cooperative intelligent transport system uses a wireless communication channel. The method includes: detecting multiple objects present within a field of view of at least one sensor provided at a respective station or included in a shared message received from another station as being present in the vicinity of the station; obtaining object data of each detected object from said at least one sensor and/or said shared message; filling a collective perception message with object data of the objects; calculating a collective perception message significance index for each collective perception message filled with object data; determining available channel resources of said wireless communication channel; and transmitting collective perception messages in accordance with the available channel resources starting with a collective perception message with the highest collective perception message significance index.