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Engineering    2016, Vol. 2 Issue (3) : 366 -373
Research |
High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning
He Zhuang1,2,Liping Feng1,(),Chao Wen1,4,Qiyuan Peng1,3,Qizhi Tang2
1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
2. China Railway Corporation, Beijing 100844, China
3. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China
4. Department of Civil and Environmental Engineering, University of Waterloo, Waterloo N2L 3G1, Canada

Trains are prone to delays and deviations from train operation plans during their operation because of internal or external disturbances. Delays may develop into operational conflicts between adjacent trains as a result of delay propagation, which may disturb the arrangement of the train operation plan and threaten the operational safety of trains. Therefore, reliable conflict prediction results can be valuable references for dispatchers in making more efficient train operation adjustments when conflicts occur. In contrast to the traditional approach to conflict prediction that involves introducing random disturbances, this study addresses the issue of the fuzzification of time intervals in a train timetable based on historical statistics and the modeling of a high-speed railway train timetable based on the concept of a timed Petri net. To measure conflict prediction results more comprehensively, we divided conflicts into potential conflicts and certain conflicts and defined the judgment conditions for both. Two evaluation indexes, one for the deviation of a single train and one for the possibility of conflicts between adjacent train operations, were developed using a formalized computation method. Based on the temporal fuzzy reasoning method, with some adjustment, a new conflict prediction method is proposed, and the results of a simulation example for two scenarios are presented. The results prove that conflict prediction after fuzzy processing of the time intervals of a train timetable is more reliable and practical and can provide helpful information for use in train operation adjustment, train timetable improvement, and other purposes.

Referred to by
He Zhuang,Liping Feng,Chao Wen, et al. Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning” [Engineering (2016) 366–373][J]. Engineering, 10.1016/J.ENG.2017.01.002 

Keywords High-speed railway      Train timetable      Conflict prediction      Fuzzy temporal knowledge reasoning     
Corresponding Authors: Liping Feng   
Just Accepted Date: 26 September 2016   Issue Date: 28 September 2016
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He Zhuang
Liping Feng
Chao Wen
Qiyuan Peng
Qizhi Tang
Cite this article:   
He Zhuang,Liping Feng,Chao Wen, et al. High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning[J]. Engineering, 2016, 2(3): 366 -373 .
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