A lane selection method under limited perception range

By planning driving paths in unmanned vehicles, collecting vehicle information, calculating traffic flow parameters and priorities, and formulating lane selection strategies, the problem of lane selection under conditions of limited perception range is solved, and traffic efficiency and safety are improved.

CN119749597APending Publication Date: 2025-04-04NEOLITHIC HUITONG TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510215704.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-26
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

The prior art is difficult to accurately select lanes under conditions of limited perception range, resulting in failure of lane change decisions or poor traffic efficiency.

Method used

Through the vehicle control system, the driving path is planned based on task information and map data, the vehicle information on the travelable lane is collected, the traffic flow parameters and traffic efficiency are calculated, the lane priority is calculated based on the driving path and lane information, and the lane selection strategy is planned and implemented.

Benefits of technology

Under the conditions of limited perception range, through behavioral analysis and comprehensive utilization of traffic flow parameters, a reasonable lane change strategy is formulated to ensure that the vehicle is driving in a lane with high traffic efficiency at a high probability, improve traffic efficiency and adapt to changes in road conditions.

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Abstract

The present invention provides a lane selection method under the condition of limited perception range, wherein the method includes: the vehicle control system plans the driving path according to the mission information and map data, and obtains the current drivable lane through the driving path; collects the vehicle information on each drivable lane, and calculates the traffic flow parameters of each drivable lane based on the vehicle information, thereby calculating the traffic efficiency of each drivable lane through the traffic flow parameters, and planning the lane selection strategy in combination with the priority of each drivable lane, and executing the lane selection strategy. The present invention analyzes the road conditions by integrating the traffic flow parameters and routing information, so as to formulate a reasonable lane change strategy to ensure that the vehicle is likely to travel on a lane with high traffic efficiency, and can make timely adjustments to the changes in road conditions, thereby improving traffic efficiency.
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