Influence of dynamic congestion with scheduling preferences on carpooling matching with heterogeneous users

André de Palma (), Patrick Stokkink and Nikolas Geroliminis

Transportation Research Part B: Methodological, 2022, vol. 155, issue C, 479-498

Abstract: Carpooling is an efficient measure to fight car ownership and reduce vehicle kilometres travelled. By individuals 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 when there is no congestion. Next, we construct a bi-level optimization problem involving matching (first stage) and dynamic traffic congestion with scheduling preferences (second stage) when congestion is endogenous. 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.

Keywords: Carpooling; Ride-sharing; Matching; Scheduling delay; Dynamic congestion; Bi-level optimization (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (10)

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DOI: 10.1016/j.trb.2021.11.005

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