Manoeuvre Coordination Messages with Split Rule and Environment Data
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Solution Overview
Problem
Existing mechanisms for assisting vehicles in achieving particular manoeuvres using Manoeuvre Coordination Messages (MCMs) face challenges such as complexity, inefficiency, and increased data volume, particularly for Road Side Units (RSUs) and vehicles with varying automation levels.
Innovation Solution
The method involves generating and transmitting MCMs with a first description structure for traffic rules and a second description structure for the environment, using different formats such as IVI, SPAT, or I2V, to simplify manoeuvre coordination, reduce data exchange, and enhance analysis by ITS-Ss embedded in vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing MCM mechanisms are used for manoeuvre coordination, then vehicles can achieve particular manoeuvres with assistance, but the system complexity and data exchange volume increase significantly
Solution Approach 1:
The MCM message structure is segmented into distinct functional components: a first description structure for traffic rules and a second description structure for environment information. This segmentation allows each component to be processed independently, reducing overall system complexity while maintaining comprehensive manoeuvre coordination capabilities
Solution Approach 2:
The patent introduces an intermediary processing layer that receives raw environment data from multiple sensors, processes it through standardized algorithms, and outputs structured environment descriptions for MCM messages. This intermediary layer simplifies the complexity by providing a uniform interface between diverse sensor systems and the manoeuvre coordination function
2Measurement precision
If detailed environment and traffic rule information is transmitted in MCMs, then coordination accuracy improves, but data exchange volume increases
Solution Approach 1:
The patent extracts only the essential and relevant features from comprehensive sensor data for inclusion in MCM messages. The first description structure extracts critical traffic rule elements, while the second description structure extracts key environment features, filtering out redundant information to maintain accuracy while reducing data volume
Solution Approach 2:
The patent transforms raw sensor data into standardized parameter formats defined by the first and second description structures. This parameter transformation process converts variable-length, high-volume raw data into fixed-format, optimized representations that maintain precision while significantly reducing the quantity of data exchanged
3Reliability
If comprehensive traffic rules and environment data are processed, then manoeuvre coordination reliability improves, but processing time increases
Solution Approach 1:
The patent performs preliminary processing of traffic rules and environment information before they are needed for manoeuvre coordination. Data is pre-validated, pre-formatted, and pre-organized according to the first and second description structures, so that when manoeuvre coordination is required, the processing time is minimized while reliability is maintained through the thoroughness of advance preparation
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 improving manoeuvre coordination. After having identified a manoeuvre to be carried out, in a coordinating ITS station, ITS-S, the manoeuvre involving a plurality of entities, at least one of the entities comprising a coordinated ITS-S, at least one traffic rule to be followed by the at least one entity to carry out the manoeuvre is obtained and a Manoeuvre Coordination Message, MCM, is generated and transmitted. The MCM comprises a first description structure for describing the at least one obtained traffic rule and a second description structure for describing an environment wherein the manoeuvre is to be carried out, the second description structure being different from the first description structure.