Integrated Optimization of Line Planning, Timetabling and Rolling Stock Allocation for Urban Railway Lines

Wenliang Zhou and Mehdi Oldache
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Wenliang Zhou: School of Traffic and Transportation, Central South University, Changsha 410075, China
Mehdi Oldache: School of Traffic and Transportation, Central South University, Changsha 410075, China

Sustainability, 2021, vol. 13, issue 23, 1-32

Abstract: In order to improve train operation planning from the two perspectives of enterprise operating costs and passengers’ travel time, this paper proposes an integrated optimization model of three sub-problems, namely line planning, timetabling and rolling stock allocation for urban railway transit lines based on passengers’ travelling demands and the constraints of the urban rail line. The model features dwelling time at stations, turnaround operations at terminal stations, entering/exiting depot operations and an assignment for passengers’ travelling flow. We propose a solution method based on a metaheuristic method that simulates annealing to generate an optimal solution for the overall problem using MATLAB. Finally, we use the example of Xi’an metro line one to demonstrate the performance of the model.

Keywords: line planning; timetabling; rolling stock allocation; integrated optimization; urban railway line; simulated annealing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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