Full-automatic unmanned train station-entering benchmarking parking test method and device

By simulating a variety of abnormal parking scenarios, the safety and reliability problems of fully automatic unmanned trains when parking abnormally enter the station are solved, and more efficient testing and more reliable parking behavior are achieved.

CN119644975APending Publication Date: 2025-03-18CASCO SIGNAL (BEIJING) CO LTD
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Patent Information

Application Number
CN202411414975.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-11
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The existing technology lacks testing methods for fully automatic unmanned trains when parking abnormally when entering the station, making it difficult to guarantee their safety and reliability in different abnormal parking scenarios.

Method used

Provide a fully automatic unmanned train entering the station to benchmark parking test method and device. By simulating a variety of abnormal parking scenarios, it detects whether the train's parking behavior in these scenarios meets the preset standards and determines whether the test is qualified or unqualified.

Benefits of technology

Through simulation tests covering a variety of abnormal parking scenarios, the test quality and efficiency of fully automatic unmanned trains entering the station are significantly improved, ensuring their safety and reliability in different scenarios.

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Abstract

The invention discloses a full-automatic unmanned train station-entering benchmarking parking test method and device, relates to the technical field of unmanned driving, and mainly aims to comprehensively cover simulation tests of various abnormal parking scenes so as to guarantee safety and reliability of benchmarking parking of a full-automatic unmanned train under different abnormal parking scenes. According to the main technical scheme, when a train runs in a full-automatic unmanned mode, a target parking lot scene is selected from preset abnormal parking lot scenes, and an abnormal parking point set according to a default parking point and a to-be-executed event corresponding to the abnormal parking point are determined according to the target parking lot scene; simulating that the train enters the station and stops at the abnormal parking point in the test environment, and detecting whether the to-be-executed event corresponding to the abnormal parking point is normally simulated and executed or not; if yes, determining that the parking test of the train in the target parking lot scene is qualified; and if not, determining that the parking test of the train in the target parking lot scene is unqualified.
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