Optimization of Train Anti-slip Control Strategies for Urban Rail Transit Multi-system Coordination

Autor: QIAO Zhiyuan
Jazyk: čínština
Rok vydání: 2024
Předmět:
Zdroj: Chengshi guidao jiaotong yanjiu, Vol 27, Iss 11, Pp 62-65 (2024)
Druh dokumentu: article
ISSN: 1007-869X
1007-869x
DOI: 10.16037/j.1007-869x.2024.11.014.html
Popis: Objective Under extreme line and weather conditions, urban rail transit trains often experience low adhesion leading to wheel-rail slip or slide phenomena in mainline operation, making it necessary to optimize the train anti-slip control strategy. Method Based on the adhesion model and slip determination, the typical anti-slip control logics of current urban rail transit vehicle and signaling system, and the interaction principles between vehicle and signaling system anti-slip controls are analyzed. A feasible multi-system anti-slip control strategy is developed. This strategy makes optimization in three aspects: increasing the safety envelope of the train position in the signal anti-slip strategy; matching speed measurement system linkage and tolerance thresholds in vehicle and signaling system interactions; and optimizing the wheel flange lubrication strategy in track work system. Result & Conclusion After optimizing the signaling system anti-slip control strategy, trains are still allowed to continue operating within the maximum safety envelope when the train slips, thus reducing the impact of slip incidents on the following trains and overall operations. The optimized interaction strategy between vehicle and signaling system improves speed measurement accuracy and tolerance threshold ranges. Disabling the rail-wheel flange lubrication device during rain and snow weather further reduces the probabilities of slipping. The results of same period operational data after the implementation of multi-system anti-slip control strategy in mainline operation shows a 34% reduction in emergency braking events due to train slipping and a 64% decrease in the number of affected operational trains.
Databáze: Directory of Open Access Journals
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