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Decreasing the passenger waiting time for an intercity rail network

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  • Vansteenwegen, P.
  • Van Oudheusden, D.

Abstract

To improve the robustness of timetables for a network of passenger train services, this paper seeks to minimize a waiting cost function that includes running time supplements and different types of waiting times and late arrivals. The approach is applied to the whole intercity (IC) network of the Belgian railways. The IC network consists of 14 fast trains connecting all major cities in Belgium. In the first phase of the approach, ideal running time supplements are calculated to safeguard connections when the feeder train is late. These supplements are based on the delay distributions of the trains, the passenger counts and on the weighting of different types of waiting times. In a second phase, continuous Linear Programming (LP) is used to construct an improved timetable with well-scheduled connections and, whenever possible, with ideal running time supplements. Simulation evaluates different timetables and makes further improvement of the LP timetable possible. For the case of the IC network, the final result is a timetable with suitable transfer times and a waiting cost, that is, 40% lower than the current timetable. Since continuous LP modelling is applied, the proposed technique is very promising for developing better timetables - even for very extensive railway networks.

Suggested Citation

  • Vansteenwegen, P. & Van Oudheusden, D., 2007. "Decreasing the passenger waiting time for an intercity rail network," Transportation Research Part B: Methodological, Elsevier, vol. 41(4), pages 478-492, May.
  • Handle: RePEc:eee:transb:v:41:y:2007:i:4:p:478-492
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    7. Sels, P. & Dewilde, T. & Cattrysse, D. & Vansteenwegen, P., 2016. "Reducing the passenger travel time in practice by the automated construction of a robust railway timetable," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 124-156.
    8. Xuan Li & Toshiyuki Yamamoto & Tao Yan & Lili Lu & Xiaofei Ye, 2020. "First Train Timetabling for Urban Rail Transit Networks with Maximum Passenger Transfer Satisfaction," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    9. Mizuyo Takamatsu & Azuma Taguchi, 2020. "Bus Timetable Design to Ensure Smooth Transfers in Areas with Low-Frequency Public Transportation Services," Transportation Science, INFORMS, vol. 54(5), pages 1238-1250, September.
    10. Yuan, Yalong & Yang, Min & Feng, Tao & Ma, Yafeng & Ren, Yifeng & Ruan, Xinpei, 2022. "Heterogeneity in the transfer time of air-rail intermodal passengers based on ticket booking data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 533-552.
    11. Jens Parbo & Otto Anker Nielsen & Carlo Giacomo Prato, 2016. "Passenger Perspectives in Railway Timetabling: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 36(4), pages 500-526, July.
    12. Shi, Feng & Zhou, Zhao & Yao, Jia & Huang, Helai, 2012. "Incorporating transfer reliability into equilibrium analysis of railway passenger flow," European Journal of Operational Research, Elsevier, vol. 220(2), pages 378-385.
    13. Cacchiani, Valentina & Caprara, Alberto & Toth, Paolo, 2010. "Scheduling extra freight trains on railway networks," Transportation Research Part B: Methodological, Elsevier, vol. 44(2), pages 215-231, February.
    14. Robenek, Tomáš & Maknoon, Yousef & Azadeh, Shadi Sharif & Chen, Jianghang & Bierlaire, Michel, 2016. "Passenger centric train timetabling problem," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 107-126.
    15. Zhang, Jianhua & Wang, Shuliang & Wang, Xiaoyuan, 2018. "Comparison analysis on vulnerability of metro networks based on complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 72-78.
    16. Lusby, Richard M. & Larsen, Jesper & Bull, Simon, 2018. "A survey on robustness in railway planning," European Journal of Operational Research, Elsevier, vol. 266(1), pages 1-15.
    17. Talebian, Ahmadreza & Zou, Bo & Peivandi, Ahmad, 2018. "Capacity allocation in vertically integrated rail systems: A bargaining approach," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 167-191.
    18. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou, 2016. "Designing robust schedule coordination scheme for transit networks with safety control margins," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 495-519.
    19. Gheorghe-Stelian BALAN & Mariana BALAN, 2011. "Optimization models of rail transportation under the financial crisis," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 10(1), pages 72-80.
    20. Chow, Andy H.F. & Pavlides, Aris, 2018. "Cost functions and multi-objective timetabling of mixed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 335-356.
    21. Vansteenwegen, Pieter & Dewilde, Thijs & Burggraeve, Sofie & Cattrysse, Dirk, 2016. "An iterative approach for reducing the impact of infrastructure maintenance on the performance of railway systems," European Journal of Operational Research, Elsevier, vol. 252(1), pages 39-53.
    22. Zhang, Jianhua & Xu, Xiaoming & Hong, Liu & Wang, Shuliang & Fei, Qi, 2011. "Networked analysis of the Shanghai subway network, in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4562-4570.
    23. Rupp, Nicholas G., 2009. "Do carriers internalize congestion costs? Empirical evidence on the internalization question," Journal of Urban Economics, Elsevier, vol. 65(1), pages 24-37, January.
    24. König, Eva & Schön, Cornelia, 2021. "Railway delay management with passenger rerouting considering train capacity constraints," European Journal of Operational Research, Elsevier, vol. 288(2), pages 450-465.

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