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Some Computational Insights on the Optimal Bus Transit Route Network Design Problem

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  • Fan, Wei
  • Machemehl, Randy B.
  • Lownes, Nicholas E.

Abstract

The objective of this paper is to present some computational insights based on previous extensive research experiences on the optimal bus transit route network design problem (BTRNDP) with zonal demand aggregation and variable transit demand. A multi-objective, nonlinear mixed integer model is developed. A general meta-heuristics-based solution methodology is proposed. Genetic algorithms (GA), simulated annealing (SA), and a combination of the GA and SA are implemented and compared to solve the BTRNDP. Computational results show that zonal demand aggregation is necessary and combining metaheuristic algorithms to solve the large scale BTRNDP is very promising.

Suggested Citation

  • Fan, Wei & Machemehl, Randy B. & Lownes, Nicholas E., 2008. "Some Computational Insights on the Optimal Bus Transit Route Network Design Problem," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 47(3).
    • Handle: RePEc:ags:ndjtrf:206963
    DOI: 10.22004/ag.econ.206963
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    References listed on IDEAS

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    1. Jin Y. Yen, 1971. "Finding the K Shortest Loopless Paths in a Network," Management Science, INFORMS, vol. 17(11), pages 712-716, July.
    2. LeBlanc, Larry J., 1988. "Transit system network design," Transportation Research Part B: Methodological, Elsevier, vol. 22(5), pages 383-390, October.
    3. Eglese, R. W., 1990. "Simulated annealing: A tool for operational research," European Journal of Operational Research, Elsevier, vol. 46(3), pages 271-281, June.
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    Cited by:

    1. Pternea, Moschoula & Kepaptsoglou, Konstantinos & Karlaftis, Matthew G., 2015. "Sustainable urban transit network design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 276-291.

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