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

Author

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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)

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.

Suggested Citation

  • Wenliang Zhou & Mehdi Oldache, 2021. "Integrated Optimization of Line Planning, Timetabling and Rolling Stock Allocation for Urban Railway Lines," Sustainability, MDPI, vol. 13(23), pages 1-32, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13059-:d:687891
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    References listed on IDEAS

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    Cited by:

    1. Maosheng Li & Hangcong Li, 2022. "Optimal Design of Subway Train Cross-Line Operation Scheme Based on Passenger Smart Card Data," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    2. Yidong Wang & Rui Song & Shiwei He & Zilong Song, 2022. "Train Routing and Track Allocation Optimization Model of Multi-Station High-Speed Railway Hub," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    3. Manuel Blanco-Castillo & Adrián Fernández-Rodríguez & Antonio Fernández-Cardador & Asunción P. Cucala, 2022. "Eco-Driving in Railway Lines Considering the Uncertainty Associated with Climatological Conditions," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    4. Gonzalo Sánchez-Contreras & Adrián Fernández-Rodríguez & Antonio Fernández-Cardador & Asunción P. Cucala, 2023. "A Two-Level Fuzzy Multi-Objective Design of ATO Driving Commands for Energy-Efficient Operation of Metropolitan Railway Lines," Sustainability, MDPI, vol. 15(12), pages 1-24, June.

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