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Transportation infrastructure network design in the presence of modal competition: computational complexity classification and a genetic algorithm

Author

Listed:
  • Federico Perea

    (Universitat Politècnica de València)

  • Mozart B. C. Menezes

    (NEOMA Business School)

  • Juan A. Mesa

    (Universidad de Sevilla)

  • Fernando Rubio-Del-Rey

    (Universitat Politècnica de València)

Abstract

In this paper we analyze the computational complexity of transportation infrastructure network design problems, in the presence of a competing transportation mode. Some of these problems have previously been introduced in the literature. All problems studied have a common objective: the maximization of the number of travelers using the new network to be built. The differences between them are due to two factors. The first one is the constraints that the new network should satisfy: (1) budget constraint, (2) no-cycle constraint, (3) both constraints. The second factor is the topology of the network formed by the feasible links and stations: (1) a general network, (2) a forest. By combining these two factors, in total we analyze six problems, five of them are shown to be NP-hard, the sixth being trivial. Due to the NP-hardness of these problems, a genetic algorithm is proposed. Computational experiments show the applicability of this algorithm.

Suggested Citation

  • Federico Perea & Mozart B. C. Menezes & Juan A. Mesa & Fernando Rubio-Del-Rey, 2020. "Transportation infrastructure network design in the presence of modal competition: computational complexity classification and a genetic algorithm," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 442-474, July.
    • Handle: RePEc:spr:topjnl:v:28:y:2020:i:2:d:10.1007_s11750-019-00537-x
    DOI: 10.1007/s11750-019-00537-x
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    References listed on IDEAS

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