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

被引：13

作者：

de Palma, Andre ^{[1
]}

Stokkink, Patrick ^{[2
]}

Geroliminis, Nikolas ^{[2
]}

机构：

[1] CY Cergy Paris Univ, Thema, France

[2] Ecole Polytech Fed Lausanne EPFL, Urban Transport Syst Lab LUTS, Lausanne, Switzerland

来源：

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL | 2022年 / 155卷

关键词：

Carpooling; Ride-sharing; Matching; Scheduling delay; Dynamic congestion; Bi-level optimization; MORNING COMMUTE; TRAFFIC FLOWS; MODEL; BOTTLENECK; BENEFITS; OPTIMIZATION; SERVICE; DESIGN; SCHEME;

D O I：

10.1016/j.trb.2021.11.005

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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 a 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.

引用

页码：479 / 498

页数：20