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Freight train scheduling with elastic demand

Author

Listed:
  • Kuo, April
  • Miller-Hooks, Elise
  • Mahmassani, Hani S.

Abstract

A train slot selection model based on multicommodity network flow concepts is developed for determining freight train timetables for scheduling rail services along multiple interconnected routes. The model seeks to minimize operating costs incurred by carriers and delays incurred by shippers while ensuring that the schedules and demand levels are mutually consistent. A column generation-based methodology is proposed for train slot selection to meet frequency requirements. This methodology is embedded in a simulation-based iterative framework, where demand for rail services is re-computed in accordance with the train schedule obtained by solving the freight train scheduling problem.

Suggested Citation

  • Kuo, April & Miller-Hooks, Elise & Mahmassani, Hani S., 2010. "Freight train scheduling with elastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1057-1070, November.
    • Handle: RePEc:eee:transe:v:46:y:2010:i:6:p:1057-1070
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    Citations

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    Cited by:

    1. Bach, Lukas & Gendreau, Michel & Wøhlk, Sanne, 2015. "Freight railway operator timetabling and engine scheduling," European Journal of Operational Research, Elsevier, vol. 241(2), pages 309-319.
    2. Gaurav Singh & Rodolfo García-Flores & Andreas Ernst & Palitha Welgama & Meimei Zhang & Kerry Munday, 2014. "Medium-Term Rail Scheduling for an Iron Ore Mining Company," Interfaces, INFORMS, vol. 44(2), pages 222-240, April.
    3. Jiahao Zhao & Xiaoning Zhu & Li Wang, 2020. "Study on Scheme of Outbound Railway Container Organization in Rail-Water Intermodal Transportation," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    4. Mo, Pengli & Yao, Yu & D’Ariano, Andrea & Liu, Zhiyuan, 2023. "The vehicle routing problem with underground logistics: Formulation and algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    5. Camille Morvant, 2014. "Is freight really flexible in the timetabling process for a mixed-use rail network? Some considerations based on French experience," Post-Print hal-01066985, HAL.
    6. Kuo, April & Miller-Hooks, Elise, 2012. "Developing Responsive Rail Services through collaboration," Transportation Research Part B: Methodological, Elsevier, vol. 46(3), pages 424-439.
    7. Woodburn, Allan, 2017. "The impacts on freight train operational performance of new rail infrastructure to segregate passenger and freight traffic," Journal of Transport Geography, Elsevier, vol. 58(C), pages 176-185.
    8. Chaoda Xie & Xifu Wang & Daisuke Fukuda, 2020. "On the Pricing of Urban Rail Transit with Track Sharing Freight Service," Sustainability, MDPI, vol. 12(7), pages 1-29, April.
    9. Yang, Xin & Chen, Anthony & Ning, Bin & Tang, Tao, 2017. "Bi-objective programming approach for solving the metro timetable optimization problem with dwell time uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 22-37.

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