Collective Perception Messages for Road Space Occupancy Reporting
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Solution Overview
Problem
Existing Cooperative Intelligent Transport Systems (C-ITS) face challenges in providing a comprehensive and efficient global perception of road situations due to bandwidth constraints and the need for analyzing numerous independent perception messages, which can be time-consuming and incomplete, especially when relying on Collective Perception Messages (CPMs) that do not convey information on all perceived objects or free spaces.
Innovation Solution
Introduce a new type of object in CPMs to include space areas corresponding to specific parts of road topology, such as road sections or merging zones, with additional information like occupancy and congestion, and implement a hierarchy of space areas for reporting different levels of global information, allowing receiving stations to obtain a more meaningful understanding of the road situation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple independent CPMs are transmitted to provide comprehensive road situation information, then the completeness of road perception information is improved, but the bandwidth consumption increases and analysis time increases
Solution Approach 1:
The patent merges multiple independent CPMs into a single aggregated CPM that contains collective road situation information from multiple sources. This consolidation reduces the number of messages that need to be transmitted and analyzed, thereby decreasing bandwidth consumption and analysis time while maintaining comprehensive road perception information.
Solution Approach 2:
The aggregated CPM serves multiple functions simultaneously: it provides collective perception data from multiple ITS stations, enables global road situation understanding, and supports both individual object detection and overall traffic pattern analysis within a single message structure.
2Loss of information
If all perceived objects are included in CPMs, then the completeness of road information is improved, but the message size increases
Solution Approach 1:
The patent extracts and transmits only the most relevant road situation information in the aggregated CPM, such as collective perception data from multiple ITS stations and key road topology information, rather than including all possible perceived objects. This selective extraction maintains essential road information completeness while controlling message size.
Solution Approach 2:
The road situation information is segmented into hierarchical levels, with the aggregated CPM containing high-level collective perception data from multiple stations. Detailed individual object information is maintained separately but can be accessed when needed, allowing the main message to remain compact while preserving access to comprehensive information.
3Measurement precision
If detailed individual object information is transmitted in each CPM, then the precision of object detection is improved, but the bandwidth efficiency decreases
Solution Approach 1:
The patent combines individual object detection data from multiple ITS stations into a unified aggregated CPM structure. This merging allows precise object detection information to be preserved and shared across the network without requiring each station to transmit separate detailed messages, thereby improving bandwidth efficiency while maintaining detection precision.
Data Source
AI summary
A method of communication in an Intelligent Transport System, ITS, comprising, at an originating ITS station reporting in a collective perception message an element describing a space representing a specific area of a road topology.