Optimizing limited-stop services with vehicle assignment

Joanne S.C. Chew, Lele Zhang and Heng S. Gan

Transportation Research Part E: Logistics and Transportation Review, 2019, vol. 129, issue C, 228-246

Abstract: This paper studies limited-stop operations for rail transit systems and presents an optimization model, which aims to minimize passengers’ travel times and on-board crowdedness. The model combines the design of service itinerary for each vehicle and the allocation of vehicles of various types among multiple lines. Three methods are proposed including a mixed-integer program and two column generation algorithms. Numerical results on generic scenarios show that the column generation algorithm can provide sub-optimal solutions and is computationally efficient. In a case study on Melbourne’s railway network, its solution significantly improves in the passenger travel time compared to the current practice.

Keywords: Limited-stop schedule; Load excess; Column generation; Mix-integer programming; Optimization (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.tre.2019.08.001

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