System-level impacts of en-route information sharing considering adaptive routing
System-level impacts of en-route information sharing considering adaptive routing
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DOI：
10.1016/j.trc.2023.104075
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发表时间：
2023-04
期刊：
影响因子：
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通讯作者：
Fatima Afifah;Zhaomiao Guo;M. Abdel-Aty
中科院分区：
文献类型：
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作者：
Fatima Afifah;Zhaomiao Guo;M. Abdel-Aty
互联和自动化车辆(CAV)和基础设施到车辆(I2V)通信在改善十字路口和路段层面的交通安全和机动性方面具有巨大潜力。然而，由于交通是一个相互连接的网络，局部交通状态的变化可能会通过改变路线而导致更广泛的影响。在这项研究中，我们重点研究了路径位置信息更新对考虑自适应路由的CAV系统级安全性和移动性的影响。提出了一种新的两阶段随机交通均衡模型，用于刻画在提供路段交通信息的情况下，考虑自适应路径行为的均衡交通模式。利用奥兰多交通网络的实际交通和事故数据对所提出的方法进行了测试。分析了不同的I2V信息共享策略，以更好地了解I2V信息共享位置对交通网络安全和移动性的影响，从而为交通信息共享系统的优化设计提供参考。
Connected and automated vehicles (CAVs) and infrastructure-to-vehicle (I2V) communication have great potential to improve traffic safety and mobility at intersection and road segment levels. However, since transportation is an interconnected network, local transportation state change could lead to broader impacts by rerouting. In this study, we focus on investigating the impacts of en-route locational information updates on the system-level safety and mobility considering adaptive routing of CAVs. We propose a novel two-stage stochastic traffic equilibrium model to characterize the equilibrium traffic patterns considering adaptive routing behavior when en-route traffic information is provided. The proposed methodology is tested using the Orlando transportation network with real traffic and accident data. Different I2V information sharing strategies are analyzed to better understand the impacts of information sharing locations of I2V on transportation network safety and mobility, through which we generate insights on the optimal design of traffic information sharing systems.