CAV Intersection Priority Coordination Without Roadside Infrastructure
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Solution Overview
Problem
Existing methods for managing Connected and Automated Vehicles (CAVs) at intersections require specific infrastructure or high computational resources, especially when dealing with intersections without traffic lights or complex priority rules.
Innovation Solution
A method where CAVs independently compute and compare priority levels for each branch at an intersection, allowing for decentralized data processing and reduced data transmission, enabling efficient management without the need for specific infrastructure or high computational loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specific infrastructure (communication and computing units) is deployed at crossing intersections to control CAVs, then the management of CAVs at intersections can be achieved, but the deployment is costly and time consuming
Solution Approach 1:
The patent enables CAVs to autonomously determine their own priority levels and make crossing decisions without requiring external infrastructure. Each CAV independently computes its priority based on local observations and communicates this information to other CAVs, allowing the system to self-organize and self-manage the intersection without dedicated control equipment.
Solution Approach 2:
The patent introduces a communication protocol as an intermediary mechanism that allows CAVs to exchange priority information and coordinate their movements. This software-based intermediary replaces the need for physical infrastructure, enabling CAVs to negotiate right-of-way through message passing while maintaining system-wide coordination.
2Reliability
If all CAVs at the intersection perform computation and data transmission, then comprehensive intersection management is achieved, but the computational load and data transmission requirements increase significantly
Solution Approach 1:
The patent segments the computation task by having each CAV independently determine its own priority level based on its branch and local conditions, rather than requiring all CAVs to process all data. This segmentation reduces the computational burden on each individual vehicle and minimizes the amount of data that needs to be transmitted across the network.
Solution Approach 2:
The patent extracts only the essential information needed for decision-making (priority levels) from the full set of vehicle data, and transmits only this extracted information between CAVs. This extraction principle reduces data transmission requirements while maintaining the comprehensiveness of intersection management.
3Adaptability or versatility
If CAVs compute priority levels independently for each branch, then flexibility and reduced data transmission are achieved, but coordination between different branches becomes more complex
Solution Approach 1:
The patent transforms the complex multi-dimensional vehicle state data into a simplified priority parameter that captures the essential information needed for coordination. By changing the representation from detailed vehicle states to aggregated priority levels, the system achieves computational flexibility and reduced data transmission while maintaining coordination capability through the priority comparison mechanism.
Data Source
AI summary
The invention relates to a method for managing traffic of connected and automated vehicles, CAV, at a road intersection comprising N branches, said method comprising: for each branch i of M branches among the N branches, with iϵ[1;M], M equal or greater than 2 and smaller or equal to N: obtaining by a CAV data related to vehicles in the i-th branch; determining by said CAV a i-th value relative to a level of priority of the i-th branch; comparing the i-th values; according to the result of the comparison, instructing a first CAV in one p-th branch among the M branches to enter a crossing area, CA, of the road intersection at a entering time.