High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning
| Autor: | He Zhuang, Qiyuan Peng, Qizhi Tang, Liping Feng, Chao Wen |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
Conflict prediction
Engineering Environmental Engineering General Computer Science Operations research Materials Science (miscellaneous) General Chemical Engineering Computation Fuzzy set Energy Engineering and Power Technology 020101 civil engineering 02 engineering and technology Plan (drawing) Fuzzy logic 0201 civil engineering 0502 economics and business 050210 logistics & transportation Measure (data warehouse) business.industry 05 social sciences General Engineering Contrast (statistics) Petri net High-speed railway lcsh:TA1-2040 Train timetable Fuzzy temporal knowledge reasoning Train business lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | Engineering, Vol 2, Iss 3, Pp 366-373 (2016) |
| ISSN: | 2095-8099 |
| DOI: | 10.1016/J.ENG.2016.03.019 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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