Influence of Dynamic Congestion on Carpooling Matching

Influence of Dynamic Congestion on Carpooling Matching
复制标题

动态拥堵对拼车匹配的影响

DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
N. Geroliminis
N. Geroliminis
中科院分区：
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文献类型：
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作者：
A. Palma;P.S.A. Stokkink;N. Geroliminis

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拼车是打击汽车保有量、减少车辆行驶里程的有效措施。通过共享通勤，车辆占有率增加，拥堵减少。我们开发了一个动态的ADL(Arnott，de Palma，Lindsey)-Vickrey方法，用于霍特林那样的走廊单中心城市。首先，我们将拼车中不同用户的匹配问题描述为一个MILP问题，并讨论了它的分析性质。接下来，我们构造了一个包含匹配(第一阶段)和动态交通拥堵(第二阶段)的双层优化问题。我们提出了一种启发式算法来实现动态拥堵交通均衡的最优匹配。这样的模板允许研究动态拥堵和拼车匹配之间的双向因果关系。
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.