An Analytical Model of Many-to-one Carpool System Performance Under Cost-based Detour Limits
An Analytical Model of Many-to-one Carpool System Performance Under Cost-based Detour Limits
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DOI：
10.1016/j.ijtst.2024.05.007
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发表时间：
2024-05
影响因子：
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通讯作者：
Xin Dong;Hao Liu;V. Gayah
中科院分区：
文献类型：
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作者：
Xin Dong;Hao Liu;V. Gayah
摘要 1 拼车是缓解拥堵的有效策略。通过巧妙地将更多的人分成更少的两辆车，可以显着减少总行驶距离。然而，拼车系统的有效性很大程度上取决于能够成功匹配的感兴趣用户的比例以及单个用户从这些匹配中获得的收益的多少。 4 5 本文开发了分析模型来估计拼车系统的这些措施，6 服务于多对一的需求模式，其中旅行者共享相同的基本目的地，但来自 7 个不同的出发地。这些模型提供了预期的匹配率和平均用户剩余，作为网络规模、用户数量和旅行成本的函数 8。与其他作品不同的是，这个模型9考虑了拼车用户愿意在基于成本的绕行限制10而不是固定绕行限制下出行的事实，以根据其来源和出行成本考虑来创建匹配。 11 结果通过模拟测试进行了验证，并用于更好地了解不同的 12 个参数如何影响拼车系统的整体性能。 13 14
ABSTRACT 1 Carpooling is an effective strategy to mitigate congestion. By grouping more people into fewer 2 vehicles smartly, total travel distances can be reduced significantly. However, the effectiveness of 3 a carpooling system highly depends on the proportion of interested users that can be successfully 4 matched with each other and the amount of benefits individual users gain from these matches. 5 This paper develops analytical models to estimate these measures for a carpooling system that 6 serves a many-to-one demand pattern, in which travelers share the same basic destination but from 7 different origins. The models provide the expected match rate and average user surplus achieved as 8 a function of the network size, number of users, and travel costs. Different from other works, this 9 model considers the fact that carpool users would be willing to travel under cost-based detour limits 10 instead of fixed detour limits to create a match based on their origins and travel cost considerations. 11 The results are validated using simulation tests and also used to better understand how different 12 parameters might influence the overall performance of a carpooling system. 13 14