Road Usage Containers in ITS Cooperative Awareness Messages
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Solution Overview
Problem
Current Intelligent Transport Systems (ITS) face limitations in predicting the behavior of other vehicles due to lack of knowledge about vehicle properties, intentions, and driving conditions, which restricts the accuracy of trajectory prediction and safety assessments.
Innovation Solution
Incorporating RoadUsage Containers in Cooperative Awareness Messages (CAMs) and Vulnerable Road Users Awareness Messages (VAMs) to share road usage areas, types, and safety indications, allowing vehicles and vulnerable road users to communicate their intended road usage and safety requirements, enabling better trajectory planning and safety assessments among ITS stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ITS stations exchange detailed messages about vehicle dynamics and environment, then safety and awareness are improved, but communication bandwidth and processing resources are consumed
Solution Approach 1:
The patent extracts only the essential safety-critical information (road usage area, type, and safety indication) from complete vehicle dynamics messages. By taking out only the necessary elements for safety assessment rather than transmitting full message sets, the solution reduces bandwidth consumption while maintaining safety awareness.
Solution Approach 2:
Instead of transmitting complete vehicle dynamics messages, the patent creates simplified copies containing only road usage information (area, type, safety indication). These copied messages provide sufficient information for safety assessments without the overhead of full message transmission.
2Measurement precision
If trajectory prediction accuracy is improved by considering more vehicle properties and intentions, then collision avoidance is enhanced, but computational complexity increases
Solution Approach 1:
The patent extracts only the critical elements needed for trajectory prediction (road usage area, type, and safety indication) from complete vehicle state information. This extraction provides sufficient data for accurate collision risk assessment without requiring complex processing of all vehicle properties.
Solution Approach 2:
The patent changes the parameter representation from detailed vehicle dynamics to simplified road usage characteristics. By transforming the data into road usage area, type, and safety indication parameters, the system achieves accurate prediction with reduced computational complexity.
3Loss of information
If complete vehicle dynamics information is transmitted, then comprehensive awareness is achieved, but message size and transmission time increase
Solution Approach 1:
The patent extracts only the essential road usage information (area, type, safety indication) from complete vehicle dynamics data. This extraction maintains sufficient information completeness for safety-critical applications while significantly reducing message size and transmission time.
Data Source
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AI summary
According to some embodiments of the disclosure, it is provided a method of communication in an intelligent transport system, ITS. After determining at least one road usage area that the transmitting ITS station, an object, or a person associated with the transmitting ITS station may possibly use, an ITS message comprising an item of information indicating the at least one road usage area is transmitted.