Vehicle-Road Coordination Without Signal Lights
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Solution Overview
Problem
Existing traffic management systems rely on signal lights to coordinate vehicle movement at intersections, which can lead to inefficiencies and safety issues, especially in dynamic and congested environments.
Innovation Solution
A method and apparatus for achieving vehicle-road coordination at an intersection without signal lights, by acquiring and processing road region width information, obstacle coordinates, vehicle coordinates, traffic action types, and motion state parameters to plan optimal vehicle trajectories that avoid collisions and optimize traffic flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signal lights are used to coordinate vehicle movement at intersections, then traffic safety is improved, but traffic efficiency deteriorates due to fixed timing and congestion
Solution Approach 1:
The patent replaces static signal light timing with dynamic trajectory planning that adapts to real-time vehicle positions, speeds, and intended actions. The coordination model continuously updates planned trajectories based on current traffic states, enabling flexible adjustment without fixed timing cycles, thus improving both safety and efficiency simultaneously
Solution Approach 2:
The patent substitutes the mechanical signal light control system with an information-based trajectory planning system. Instead of using physical traffic signals to dictate movement, the system uses computational models to calculate optimal trajectories and communicates guidance to vehicles, replacing mechanical control with intelligent algorithmic coordination
2Measurement precision
If trajectory planning model includes detailed constraint conditions and loss functions, then collision avoidance accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent segments the trajectory planning problem into distinct components: constraint condition modules for different collision scenarios, separate loss function components for various optimization objectives, and modular calculation steps. This segmentation allows the complex problem to be solved systematically while maintaining accuracy, as each module handles a specific aspect independently
Solution Approach 2:
The patent performs preliminary setup of the trajectory planning model by pre-defining constraint conditions, loss functions, and calculation frameworks before actual trajectory computation. This preliminary action organizes the computational structure in advance, reducing the complexity of real-time calculations while preserving collision avoidance accuracy during execution
Data Source
AI summary
A method and apparatus for achieving vehicle-road coordination at an intersection without signal lights, the method comprising: acquiring information used for trajectory planning, and inputting the information used for trajectory planning into a model for planning a vehicle driving trajectory to obtain planned trajectory information, wherein the model used for planning the vehicle driving trajectory determines constraint conditions for avoiding collisions on the basis of road region width information in a plane coordinate system, the coordinates of obstacles, and the coordinates and traffic action types of each vehicle, and determines a loss function on the basis of motion state parameters of each vehicle and the coordinates of each vehicle; and on the basis of the planned trajectory information, driving each vehicle to drive.