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Assessing the Potential Impacts ofConnected Vehicles: Mobility, Environmental, and Safety Perspectives

机译:评估互联车辆的潜在影响:机动性,环境和安全性的观点

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The connected vehicle is a rapidly emerging paradigm aimed at deploying and developing a fully connected transportation system that enables data exchange among vehicles, infrastructure, and mobile devices to improve mobility, enhance safety, and reduce the adverse environmental impacts of the transportation systems. This study focuses on micromodeling and quantitatively assessing the potential impacts of the connected vehicle (CV) on mobility, safety, and the environment. To assess the benefits of CVs, a modeling framework is developed based on traffic microsimulation for a real network located in the city of Toronto, Canada, to mimic communication between enabled vehicles. In this study, we examine the effects of providing real-time routing guidance and advisory warning messages to CVs. In addition, to take into account the rerouting in nonconnected vehicles (non-CVs) in response to varying sources of information such as apps, global positioning systems (GPS), variable message signs (VMS), or simply seeing the traffic back up, the impact of fraction of non-CV vehicles was also considered and evaluated. Therefore, vehicles in this model are divided into; uninformed/unfamiliar not connected (non-CV), informed/familiar but not connected (non-CV) that get updates infrequently every 5 minutes or so (non-CV), and connected vehicles that receive information more frequently (CV). The results demonstrate the potential of connected vehicles to improve mobility, enhance safety, and reduce greenhouse gas emissions (GHGs) at the network-wide level. The results also show quantitatively how the market penetration of connected vehicles proportionally affects the performance of the traffic network. While the presented results are pertinent to the specifics of the road network modeled and cannot be generalized, the quantitative figures provide researchers and practitioners with ideas of what to expect from vehicle connectivity concerning mobility, safety, and environmental improvements.
机译:互联车辆是一种迅速兴起的范例,旨在部署和开发完全互联的运输系统,该系统可实现车辆,基础设施和移动设备之间的数据交换,以提高移动性,增强安全性并减少运输系统对环境的不利影响。这项研究的重点是微观建模并定量评估互联汽车(CV)对机动性,安全性和环境的潜在影响。为了评估CV的好处,基于交通微仿真,为位于加拿大多伦多市的真实网络开发了一个建模框架,以模拟启用车辆之间的通信。在这项研究中,我们研究了向CV提供实时路由指导和咨询警告消息的效果。此外,要考虑到非联网车辆(非CV)的更改路线,以响应各种信息源,例如应用程序,全球定位系统(GPS),可变消息标志(VMS)或只是查看路况,还考虑和评估了非CV车辆所占比例的影响。因此,该模型中的车辆分为:不知情/陌生未连接(非CV),知情/陌生但未连接(非CV),它们每隔5分钟左右更新一次(非CV),并且连接的车辆接收信息的频率更高(CV)。结果表明,联网车辆在整个网络范围内具有改善移动性,增强安全性和减少温室气体排放(GHG)的潜力。结果还定量显示了互联汽车的市场渗透率如何成比例地影响交通网络的性能。尽管给出的结果与建模的道路网络有关,不能一概而论,但定量数据为研究人员和从业人员提供了有关车辆连通性对机动性,安全性和环境改善的期望的想法。

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