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Int. J. Environ. Res. Public Health 2016, 13(7), 707; doi:10.3390/ijerph13070707

Performance Analysis of Stop-Skipping Scheduling Plans in Rail Transit under Time-Dependent Demand

Ministry of Education (MOE) Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
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Academic Editors: Albert P. C. Chan and Wen Yi
Received: 9 May 2016 / Revised: 22 June 2016 / Accepted: 7 July 2016 / Published: 13 July 2016
(This article belongs to the Special Issue Effecting a Safe and Healthy Environment in Construction)
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Abstract

Stop-skipping is a key method for alleviating congestion in rail transit, where schedules are sometimes difficult to implement. Several mechanisms have been proposed and analyzed in the literature, but very few performance comparisons are available. This study formulated train choice behavior estimation into the model considering passengers’ perception. If a passenger’s train path can be identified, this information would be useful for improving the stop-skipping schedule service. Multi-performance is a key characteristic of our proposed five stop-skipping schedules, but quantified analysis can be used to illustrate the different effects of well-known deterministic and stochastic forms. Problems in the novel category of forms were justified in the context of a single line rather than transit network. We analyzed four deterministic forms based on the well-known A/B stop-skipping operating strategy. A stochastic form was innovatively modeled as a binary integer programming problem. We present a performance analysis of our proposed model to demonstrate that stop-skipping can feasibly be used to improve the service of passengers and enhance the elasticity of train operations under demand variations along with an explicit parametric discussion. View Full-Text
Keywords: stop-skipping; single line; scheduling; train path; tabu algorithm stop-skipping; single line; scheduling; train path; tabu algorithm
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Cao, Z.; Yuan, Z.; Zhang, S. Performance Analysis of Stop-Skipping Scheduling Plans in Rail Transit under Time-Dependent Demand. Int. J. Environ. Res. Public Health 2016, 13, 707.

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