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.

联网和自动驾驶车辆 (CAV) 以及基础设施到车辆 (I2V) 通信在提高交叉路口和路段级别的交通安全性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，当地交通状态的变化可能会通过改道产生更广泛的影响。在这项研究中，我们重点研究了考虑到 CAV 的自适应路由，途中位置信息更新对系统级安全性和机动性的影响。我们提出了一种新颖的两阶段随机交通平衡模型来描述在提供途中交通信息时考虑自适应路由行为的平衡交通模式。所提出的方法是使用奥兰多交通网络和真实交通和事故数据进行测试的。