a passenger-oriented model for train rescheduling on an urban rail transit line considering train capacity constraint

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ID: 178846
2017
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Abstract
The major objective of this work is to present a train rescheduling model with train capacity constraint from a passenger-oriented standpoint for a subway line. The model expects to minimize the average generalized delay time (AGDT) of passengers. The generalized delay time is taken into consideration with two aspects: the delay time of alighting passengers and the penalty time of stranded passengers. Based on the abundant automatic fare collection (AFC) system records, the passenger arrival rate and the passenger alighting ratio are introduced to depict the short-term characteristics of passenger flow at each station, which can greatly reduce the computation complexity. In addition, an efficient genetic algorithm with adaptive mutation rate and elite strategy is used to solve the large-scale problem. Finally, Beijing Subway Line 13 is taken as a case study to validate the method. The results show that the proposed model does help neutralize the effect of train delay, with a 9.47% drop in the AGDT in comparison with the train-oriented model.
Reference Key
xu2017mathematicala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Wenkai Xu;Peng Zhao;Liqiao Ning
Journal journal of power sources
Year 2017
DOI
10.1155/2017/1010745
URL
http://dx.doi.org/10.1155/2017/1010745
Keywords
civil engineering (general)mathematics engineering (general)

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