Automatic Generation Method of Opposing Signals in Interlocking Design Data

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Authors: Fan Yang, Yongsheng Zong, Qiang Li, Jie Hu, Hao Yv, Keyi Ye
Cited by: 0

Abstract

This paper focuses on the automatic generation of hostile signals in the railway signal interlocking system, aiming to improve the efficiency and accuracy of signal data compilation. We have designed an automated adversarial signal generation algorithm that can effectively solve the problems of insufficient accuracy and low efficiency in traditional manual programming methods. This algorithm has been systematically optimized in terms of data structure definition, matching mechanism, and processing flow. The algorithm significantly improves the accuracy and reliability of hostile signal generation by efficiently managing route information and accurately matching protection sections. Experimental verification shows that compared with the manual method, this method can greatly reduce the workload of data compilation and improve the design efficiency. It has been successfully applied to actual railway projects, effectively supporting the safe and efficient operation of the railway system.

Fields of Study & Subjects

Railway Systems and Energy Efficiency Advanced Data and IoT Technologies IoT and GPS-based Vehicle Safety Systems

Publication details

Journal / source
Advances in transdisciplinary engineering
Publication date
8 January 2026
Document type
Book chapter