Stochastic optimization of an urban rail timetable under time-dependent and uncertain demand

Stochastic optimization of an urban rail timetable under time-dependent and uncertain demand
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دوره: 
۳۳
شماره: 
۶
شماره صفحه (از - تا): 
۶۴۰-۶۶۱
چکیده

Urban rail planning is extremely complex, mainly because it is a decision problem under different uncertainties.‎ In practice, travel demand is generally uncertain, and therefore, the timetabling decisions must be based on accurate estimation.‎ This research addresses the optimization of train timetable at public transit terminals of an urban rail in a stochastic setting.‎ To cope with stochastic fluctuation of arrival rates, a two-stage stochastic programming model is developed.‎ The objective is to construct a daily train schedule that minimizes the expected waiting time of passengers.‎ Due to the high computational cost of evaluating the expected value objective, the sample average approximation method is applied.‎ The method provided statistical estimations of the optimality gap as well as lower and upper bounds and the associated confidence intervals.‎ Numerical experiments are performed to evaluate the performance of the proposed model and the solution method.‎

استناد: 

Shakibayifar, Masoud, Erfan Hassannayebi, Hossein Jafary, and Arman Sajedinejad.‎ 2017.‎ Stochastic optimization of an urban rail timetable under time-dependent and uncertain demand.‎ Applied Stochastic Modeles In Business And Industry ۳۳ (۶): ۶۴۰-۶۶۱.

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