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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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    References listed on IDEAS

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    1. Blayac, Thierry & Causse, Anne, 2001. "Value of travel time: a theoretical legitimization of some nonlinear representative utility in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 35(4), pages 391-400, May.
    2. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
    3. Higgins, A. & Kozan, E. & Ferreira, L., 1996. "Optimal scheduling of trains on a single line track," Transportation Research Part B: Methodological, Elsevier, vol. 30(2), pages 147-161, April.
    4. Vansteenwegen, P. & Oudheusden, D. Van, 2006. "Developing railway timetables which guarantee a better service," European Journal of Operational Research, Elsevier, vol. 173(1), pages 337-350, August.
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    Cited by:

    1. Sels, P. & Vansteenwegen, P. & Dewilde, T. & Cattrysse, D. & Waquet, B. & Joubert, A., 2014. "The train platforming problem: The infrastructure management company perspective," Transportation Research Part B: Methodological, Elsevier, vol. 61(C), pages 55-72.
    2. 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.
    3. 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.
    4. 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.
    5. Dewilde, Thijs & Sels, Peter & Cattrysse, Dirk & Vansteenwegen, Pieter, 2014. "Improving the robustness in railway station areas," European Journal of Operational Research, Elsevier, vol. 235(1), pages 276-286.
    6. repec:eee:ejores:v:266:y:2018:i:1:p:1-15 is not listed on IDEAS
    7. repec:eee:transb:v:107:y:2018:i:c:p:167-191 is not listed on IDEAS
    8. 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.
    9. 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.
    10. Enrique Castillo & Inmaculada Gallego & José Ureña & José Coronado, 2009. "Timetabling optimization of a single railway track line with sensitivity analysis," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(2), pages 256-287, December.
    11. Zhang, Jianhua & Hu, Funian & Wang, Shuliang & Dai, Yang & Wang, Yixing, 2016. "Structural vulnerability and intervention of high speed railway networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 743-751.
    12. 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.
    13. 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.
    14. 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.
    15. 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.

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