Perception-based graded early warning and braking method and system for automated train operation

CN122078464APending Publication Date: 2026-05-26CRSC RESEARCH & DESIGN INSTITUTE GROUP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CRSC RESEARCH & DESIGN INSTITUTE GROUP CO LTD
Filing Date
2026-03-09
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing automatic train systems cannot effectively distinguish the threat levels of different types of obstacles, making it difficult to balance safety and operational efficiency, and unable to conduct dynamic and accurate risk assessment and graded response.

Method used

By acquiring obstacle type and train operation status data in real time, risk assessment levels are dynamically generated, and differentiated braking control strategies are implemented, including braking responses for high, medium, and low risk levels. Priority is given to personnel safety, and braking strategies are adjusted according to train status.

Benefits of technology

It achieves the goal of reducing unnecessary and violent braking while ensuring basic safety, thereby improving the accuracy and efficiency of driving safety and optimizing passenger comfort.

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Abstract

This disclosure applies to the field of train automatic driving, providing a perception-based graded warning and braking method and system for train automatic driving. The obstacle perception information includes at least the obstacle type and the real-time distance between the train and the obstacle; it dynamically generates a real-time risk assessment level to characterize the risk posed by the obstacle ahead; and executes a matching braking control response. By introducing a multi-source perception and dynamic risk assessment mechanism, the train automatic driving system acquires and integrates multi-dimensional perception information, including obstacle type and distance, in real time, and dynamically generates differentiated risk assessment levels accordingly. This enables the implementation of warning and braking responses that match the risk level for obstacles of different natures, such as people and falling rocks, overcoming the shortcomings of traditional methods that rely solely on distance information and cannot distinguish threat levels, and significantly improving the accuracy of driving safety.
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