CPM Perception Region Feedback for ITS Misbehaviour Detection
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Solution Overview
Problem
Current Cooperative Intelligent Transport Systems (C-ITS) lack effective mechanisms to detect and report malfunctioning entities, which can lead to hazardous situations and communication network overload.
Innovation Solution
A method is introduced to improve the detection and reporting of malfunctioning entities in C-ITS by analyzing inconsistencies in perception region information within Collective Perception Messages (CPMs). This involves generating reports based on inconsistencies between items of information describing perception regions or perceived objects, thereby identifying improper behavior of ITS stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If C-ITS stations transmit perception region information in CPMs to enable cooperative awareness, then communication efficiency and situational awareness are improved, but the risk of malfunctioning entities transmitting inconsistent or harmful information increases
Solution Approach 1:
The patent implements a feedback mechanism where receiving ITS stations analyze perception region information from CPMs for inconsistencies and generate misbehaviour reports when anomalies are detected. This feedback loop enables the system to identify and report malfunctioning entities, thereby improving reliability and preventing hazardous situations while maintaining the benefits of cooperative awareness messaging.
2Reliability
If C-ITS stations continuously monitor and analyze CPMs for inconsistencies to detect malfunctioning entities, then system safety and reliability are improved, but communication network load and processing complexity increase
Solution Approach 1:
The patent applies partial action by implementing selective monitoring where receiving ITS stations analyze specific perception region information elements for inconsistencies rather than performing exhaustive analysis of all CPM data. The system generates misbehaviour reports only when specific inconsistency patterns are detected, thereby improving reliability through targeted analysis while reducing overall processing complexity and network load compared to continuous full-spectrum monitoring.
Data Source
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AI summary
According to some embodiments of the disclosure, it is provided a method, in an Intelligent Transport System, ITS, of signalling an originating ITS station, ITS-S, with improper behaviour. After having obtained an indication representative of an inconsistency between a first item of information of a description of a first perception region and a second item of information of a description of a second perception region, each of the descriptions of the first and the second perception regions being contained in a perception region container of a Collective Perception Message, CPM, generated by the originating ITS-S, or representative of an inconsistency between the first item of information and a third item of information of a description of a perceived object in relation to the first perception region, a report comprising the obtained indication is generated.