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Influence of Dynamic Congestion on Carpooling Matching

Author

Listed:
  • André de Palma
  • Patrick Stokkink
  • Nikolas Geroliminis

    (Université de Cergy-Pontoise, THEMA)

Abstract

Carpooling is an efficient measure to fight car ownership and reduce vehicle kilometers travelled. By sharing their commutes, vehicle occupancy increases and congestion is reduced. We develop a dynamic ADL (Arnott, de Palma, Lindsey)-Vickrey approach for a corridor monocentric city à la Hotelling. First, we formulate the matching problem of heterogeneous users in carpooling as an MILP problem and we discuss its analytical properties. Next, we construct a bi-level optimization problem involving matching (first stage) and dynamic traffic congestion (second stage). We provide a heuristic to attain an optimal matching for a dynamic traffic equilibrium with congestion. Such a template allows studying the two-way causality between dynamic congestion and carpooling matching.

Suggested Citation

  • André de Palma & Patrick Stokkink & Nikolas Geroliminis, 2020. "Influence of Dynamic Congestion on Carpooling Matching," THEMA Working Papers 2020-12, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    • Handle: RePEc:ema:worpap:2020-12
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    File URL: http://thema.u-cergy.fr/IMG/pdf/2020-12.pdf
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    References listed on IDEAS

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    Cited by:

    1. Paolo Delle Site & André de Palma & Samarth Ghoslya, 2021. "Social optimality and stability of matchings in peer-to-peer ridesharing," THEMA Working Papers 2021-17, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    2. André de Palma & Lucas Javaudin & Patrick Stokkink & Léandre Tarpin-Pitre, 2021. "Modelling Ridesharing in a Large Network with Dynamic Congestion," THEMA Working Papers 2021-16, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

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    More about this item

    Keywords

    Carpooling; Ride-sharing; Matching; Scheduling delay; Bottleneck congestion;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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