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Tabu search for the real-world carpooling problem

Author

Listed:
  • Can Huang

    (Xiamen University)

  • Defu Zhang

    (Xiamen University)

  • Yain-Whar Si

    (University of Macau)

  • Stephen C. H. Leung

    (The University of Hong Kong)

Abstract

Carpooling is a flexible shared transportation system which can effectively reduce the vehicle numbers and fuel consumption. Although many carpooling systems have been proposed, most of them lack practicality, veracity, and efficiency. In this paper, we propose a new useful variant model of the long-term carpooling problem which involves multiple origins and one destination. Such problems commonly occur in a wide number of carpooling situations in real-world scenarios. Our work is motivated by the practical needs to solve environmental pollution, parking problems, traffic jams and low utilization of resources. A Tabu search algorithm is proposed in this paper to solve the carpooling problem. The proposed algorithm aims at a wide range of passenger distribution and routing problems. The computational results based on real world user data show the effectiveness of the proposed algorithm. Moreover, we developed a mobile application based on our carpooling model.

Suggested Citation

  • Can Huang & Defu Zhang & Yain-Whar Si & Stephen C. H. Leung, 2016. "Tabu search for the real-world carpooling problem," Journal of Combinatorial Optimization, Springer, vol. 32(2), pages 492-512, August.
  • Handle: RePEc:spr:jcomop:v:32:y:2016:i:2:d:10.1007_s10878-016-0015-y
    DOI: 10.1007/s10878-016-0015-y
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    References listed on IDEAS

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    Cited by:

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