Bunching-Proof Capabilities of Modular Buses: An Analytical Assessment

模块化设计 排队 灵活性(工程) 运输工程 计算机科学 工程类 运筹学 计算机网络 操作系统 统计 控制(管理) 数学 人工智能
作者
Lin Xi,Zhibin Chen,Meng Li,Fang He
出处
期刊:Transportation Science [Institute for Operations Research and the Management Sciences]
卷期号:58 (5): 925-946 被引量:2
标识
DOI:10.1287/trsc.2023.0224
摘要

Modular vehicles are a novel concept that allows for the coupling and decoupling of different vehicle modules and enables in-motion passenger transfers; it can potentially increase the flexibility of the transportation system. Recent studies have numerically highlighted the potential of using modular vehicles as transit buses to mitigate the bus bunching phenomenon. Building upon this, our study offers a comprehensive and systematic analytical assessment of the bunching-proof capabilities associated with modular buses. Specifically, we examine two sets of cases: those with fixed boarding capacities, where each bus stop processes only one queue for a modular platoon, irrespective of the number of modular vehicles it consists of; and those with flexible boarding capacities, where multiple queues can be served at each stop, enabling all modular units within a platoon to cater to boarding passengers concurrently. For the cases with fixed boarding capacities, we quantify the necessary conditions for successful hysteresis restoration, whereas for the cases with flexible boarding capacities, we discover a notable “bounded bunching property,” wherein the bus operation inherently restricts the ongoing deterioration of bunching. Leveraging this property, we propose an innovative proactive bunching mitigation method, called “adaptive pushing strategy,” to mitigate bus bunching more proactively. A computer simulation platform is established to validate the theoretical findings and mitigation solutions presented in this study. Funding: Financial support from the National Natural Science Foundation of China [Grant 72061127003], the Shanghai Eastern Scholar Program [Grant QD2020057], the Shanghai Chenguang Program [Grant 21CGA72], and the NYU Shanghai Boost Fund is gratefully acknowledged. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2023.0224 .
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