Influence of Dynamic Congestion on Carpooling Matching

André de Palma (), Patrick Stokkink and Nikolas Geroliminis ()
Additional contact information
Nikolas Geroliminis: Université de Cergy-Pontoise, THEMA

No 2020-12, THEMA Working Papers from THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise

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.

Keywords: Carpooling; Ride-sharing; Matching; Scheduling delay; Bottleneck congestion (search for similar items in EconPapers)
JEL-codes: C78 R40 R41 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-des, nep-tre and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://thema.u-cergy.fr/IMG/pdf/2020-12.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ema:worpap:2020-12

Access Statistics for this paper

More papers in THEMA Working Papers from THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise Contact information at EDIRC.
Bibliographic data for series maintained by Stefania Marcassa ( this e-mail address is bad, please contact ).