US 11,938,984 B2
Multi-layer coupling relationship-based train operation deviation propagation condition recognition method
Fengbo Liu, Shanghai (CN); Jing Xu, Shanghai (CN); Honghui Yan, Shanghai (CN); Jiang Qian, Shanghai (CN); and Tingliang Zhou, Shanghai (CN)
Assigned to CASCO SIGNAL LTD., Shanghai (CN)
Appl. No. 17/596,085
Filed by CASCO SIGNAL LTD., Shanghai (CN)
PCT Filed Oct. 19, 2020, PCT No. PCT/CN2020/121864
§ 371(c)(1), (2) Date Dec. 2, 2021,
PCT Pub. No. WO2021/098430, PCT Pub. Date May 27, 2021.
Claims priority of application No. 201911160257.2 (CN), filed on Nov. 23, 2019.
Prior Publication US 2022/0315075 A1, Oct. 6, 2022
Int. Cl. B61L 27/14 (2022.01); B61L 27/40 (2022.01)
CPC B61L 27/14 (2022.01) [B61L 27/40 (2022.01)] 8 Claims
OG exemplary drawing
 
1. A multi-layer coupling relationship-based train operation deviation propagation condition recognition and adjustment method, comprising the following steps:
recognizing an effective train event time sequence, comprising an arrival event and a departure event of a train at each passing station;
uniformly extracting train activity data, comprising a stop activity, a section operation activity, a turn-back activity, and an arrival or departure interval activity;
constructing coupling relationship groups between a train event and a train activity and between train activities;
performing statistics on changes of train operation deviation in each relationship group to determine a respective distribution function and a time-space distribution visualized result;
determining a propagation condition of the train operation deviation in a space-time range for the multiple trains based on the respective distribution function and the time-space distribution visualized result; and
performing a feedback optimization to adjust real-time train operation for the multiple trains based on the propagation condition of the train operation deviation.