CPM Generation Control via Significance Index for V2X
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Solution Overview
Problem
In cooperative intelligent transport systems (C-ITS), the existing technologies lack a mechanism to adapt the generation of collective perception messages (CPMs) based on their significance level on the wireless communication channel, leading to potential dropping of significant information packets during channel congestion, which affects traffic safety and efficiency.
Innovation Solution
A method is introduced to determine a significance index for entire collective perception messages (CSI) and calculate an information significance level (ISL) on the channel, allowing for adaptive CPM generation and transmission rules, such as implicit, explicit, priority-based, and staggered rate-based rules, to prioritize and manage CPMs based on their significance, ensuring critical information is not dropped.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If CPMs are transmitted at high rate to ensure information completeness, then information loss is reduced, but wireless channel congestion increases causing packet dropping
Solution Approach 1:
The patent changes the transmission parameters of CPMs by introducing dynamic generation rates based on channel conditions. The system calculates channel occupancy ratios and adjusts CPM transmission rates accordingly, transitioning from fixed-rate transmission to variable-rate transmission that adapts to real-time channel congestion levels, thereby resolving the contradiction between information completeness and channel capacity.
Solution Approach 2:
The patent implements dynamic CPM generation control where the message generation rate is not fixed but adapts based on calculated channel occupancy ratios. The system dynamically adjusts transmission parameters according to real-time channel conditions, allowing the system to optimize between information completeness and channel utilization capacity.
2Loss of information
If all CPMs are transmitted equally to ensure comprehensive information sharing, then information completeness is improved, but channel load increases reducing transmission efficiency
Solution Approach 1:
The patent applies local quality by differentiating the treatment of CPMs based on their individual characteristics and channel conditions. Instead of uniform transmission, the system calculates occupancy ratios for different CPM types and applies selective transmission strategies, transmitting high-value CPMs more frequently and low-value CPMs less frequently, thereby optimizing energy usage while maintaining information completeness.
Solution Approach 2:
The system changes transmission parameters dynamically based on CPM significance and channel occupancy ratios. By adjusting generation rates according to the calculated occupancy ratios of different CPM types, the system achieves efficient energy utilization while preserving critical information, resolving the contradiction between information completeness and transmission energy.
3Reliability
If CPM generation rate is increased to improve situational awareness, then traffic safety is improved, but channel congestion increases causing packet dropping
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors channel occupancy ratios and adjusts CPM generation rates accordingly. This closed-loop control ensures that safety-critical information is transmitted reliably while avoiding packet dropping caused by excessive channel congestion, as the system adapts transmission rates based on real-time channel conditions.
Solution Approach 2:
The system dynamically changes CPM generation parameters based on calculated occupancy ratios and channel conditions. By adjusting transmission rates according to real-time channel state information, the system maintains high situational awareness for safety while preventing packet dropping, thus resolving the contradiction between traffic safety and information reliability.
Data Source
AI summary
A method, a cooperative intelligent transport system and a computer-implemented system for generating a V2X message based on the significance of information on a communication channel in a cooperative intelligent transport system using a wireless communication channel for transmitting, receiving, processing and/or discarding a plurality of collective perception messages containing information about on-board sensors and/or objects detected by said on-board sensors within a traffic environment comprise determining a significance index of an object and/or a significance index of an entire collective perception message based on the individual objects within a CPM, calculating an information significance level on the channel based on the CSI values for all received CPMs, determining at least one message generation rule based on the information significance level, and generating the V2X message based on said at least one message generation rule.