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Mixed network design using hybrid scatter search

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  • Khooban, Zohreh
  • Farahani, Reza Zanjirani
  • Miandoabchi, Elnaz
  • Szeto, W.Y.

Abstract

This research proposes a bi-level model for the mixed network design problem (MNDP). The upper level problem involves redesigning the current road links’ directions, expanding their capacity, and determining signal settings at intersections to optimize the reserve capacity of the whole system. The lower level problem is the user equilibrium traffic assignment problem. By proving that the optimal arc flow solution of the bi-level problem must exist in the boundary of capacity constraints, an exact line search method called golden section search is embedded in a scatter search method for solving this complicated MNDP. The algorithm is then applied to some real cases and finally, some conclusions are drawn on the model's efficiency.

Suggested Citation

  • Khooban, Zohreh & Farahani, Reza Zanjirani & Miandoabchi, Elnaz & Szeto, W.Y., 2015. "Mixed network design using hybrid scatter search," European Journal of Operational Research, Elsevier, vol. 247(3), pages 699-710.
  • Handle: RePEc:eee:ejores:v:247:y:2015:i:3:p:699-710
    DOI: 10.1016/j.ejor.2015.06.025
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    References listed on IDEAS

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    Cited by:

    1. Rashidi, Eghbal & Parsafard, Mohsen & Medal, Hugh & Li, Xiaopeng, 2016. "Optimal traffic calming: A mixed-integer bi-level programming model for locating sidewalks and crosswalks in a multimodal transportation network to maximize pedestrians’ safety and network usability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 33-50.
    2. Li, Qing & Liao, Feixiong, 2020. "Incorporating vehicle self-relocations and traveler activity chains in a bi-level model of optimal deployment of shared autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 151-175.

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