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A New Model for a Carpool Matching Service

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  • Jizhe Xia
  • Kevin M Curtin
  • Weihong Li
  • Yonglong Zhao

Abstract

Carpooling is an effective means of reducing traffic. A carpool team shares a vehicle for their commute, which reduces the number of vehicles on the road during rush hour periods. Carpooling is officially sanctioned by most governments, and is supported by the construction of high-occupancy vehicle lanes. A number of carpooling services have been designed in order to match commuters into carpool teams, but it known that the determination of optimal carpool teams is a combinatorially complex problem, and therefore technological solutions are difficult to achieve. In this paper, a model for carpool matching services is proposed, and both optimal and heuristic approaches are tested to find solutions for that model. The results show that different solution approaches are preferred over different ranges of problem instances. Most importantly, it is demonstrated that a new formulation and associated solution procedures can permit the determination of optimal carpool teams and routes. An instantiation of the model is presented (using the street network of Guangzhou city, China) to demonstrate how carpool teams can be determined.

Suggested Citation

  • Jizhe Xia & Kevin M Curtin & Weihong Li & Yonglong Zhao, 2015. "A New Model for a Carpool Matching Service," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-23, June.
    • Handle: RePEc:plo:pone00:0129257
    DOI: 10.1371/journal.pone.0129257
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    Cited by:

    1. Leonidas G. Anthopoulos & Dimitrios N. Tzimos, 2021. "Carpooling Platforms as Smart City Projects: A Bibliometric Analysis and Systematic Literature Review," Sustainability, MDPI, vol. 13(19), pages 1-29, September.
    2. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem & Yacine Rekik, 2022. "Environmental and social implications of incorporating carpooling service on a customized bus system," Post-Print hal-03598768, HAL.
    3. Ning Ma & Ziqiang Zeng & Yinhai Wang & Jiuping Xu, 2021. "Balanced strategy based on environment and user benefit-oriented carpooling service mode for commuting trips," Transportation, Springer, vol. 48(3), pages 1241-1266, June.
    4. Amirmahdi Tafreshian & Neda Masoud & Yafeng Yin, 2020. "Frontiers in Service Science: Ride Matching for Peer-to-Peer Ride Sharing: A Review and Future Directions," Service Science, INFORMS, vol. 12(2-3), pages 44-60, June.

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