Intersection Exit Lane Selection Balancing Collision Risk and Traffic Flow
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Solution Overview
Problem
Intelligent vehicles face challenges in selecting lanes at intersections, where improving traffic efficiency can compromise safety, affecting the driving experience.
Innovation Solution
A lane selection method that considers collision risk, time to collision (TTC), distance, and obstacle probability to determine the safest lane for exiting an intersection, using sensors and computing platforms to analyze road topology and obstacle information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle selects a lane based on traffic efficiency, then the efficiency of passing through the intersection is improved, but the safety of the vehicle passing through the intersection deteriorates
Solution Approach 1:
The patent changes the decision parameters from purely efficiency-based metrics to a composite evaluation that includes safety parameters such as collision risk, time to collision (TTC), and obstacle passing probability. This allows the lane selection to balance both efficiency and safety by adjusting the weight of different parameters in the evaluation function.
Solution Approach 2:
The system implements feedback by continuously monitoring obstacle information, collision risk, and TTC, then using this information to adjust lane selection decisions. The safety assessment feedback loop ensures that efficiency optimizations do not compromise safety by re-evaluating lane choices based on real-time obstacle detection and risk assessment.
2Reliability
If the vehicle considers collision risk and obstacle information for lane selection, then the safety is improved, but the calculation overhead increases
Solution Approach 1:
The patent performs preliminary calculations of collision risk and obstacle passing probability before final lane selection. By pre-computing these safety parameters and storing them, the system reduces real-time calculation overhead during the actual lane selection process, allowing safety assessment without excessive computational burden.
Solution Approach 2:
The safety assessment is segmented into distinct modular components: obstacle detection, collision risk calculation, TTC computation, and passing probability estimation. Each module operates independently and can be optimized separately, reducing overall calculation complexity while maintaining comprehensive safety evaluation.
Data Source
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AI summary
Provided are a lane selection method and apparatus, and a vehicle. The method may be applied to the field of intelligent driving. The method includes: when a vehicle is at an intersection, obtaining information about an obstacle around the vehicle and road topology information; determining a plurality of lanes based on the road topology information, and determining a collision risk between the vehicle and the obstacle based on the information about the obstacle, where the plurality of lanes are lanes through which the vehicle exits the intersection; and selecting, based on the collision risk, a first lane from the plurality of lanes to exit the intersection. When passing through the intersection, the vehicle may select a lane based on the collision risk between the vehicle and the obstacle. This helps improve safety of the vehicle passing through the intersection, thereby improving driving experience of a user.