持续性
流量(计算机网络)
运输工程
交通拥挤
计算机科学
风险分析(工程)
环境经济学
环境科学
业务
工程类
计算机安全
生态学
生物
经济
作者
Yuchen Pan,Yu Wu,Lu Xu,Chengyi Xia,David L. Olson
标识
DOI:10.1016/j.physa.2023.129454
摘要
The rapid improvements in communication and self-driving technology in recent years have made connected autonomous cars an essential component of urban road transit. Connected autonomous vehicles excel in eliminating uncertainties arising from human driving behaviors. Consequently, they alleviate the issue of 'phantom congestion', a phenomenon that significantly impacts traffic efficiency, safety and sustainability while simultaneously enhancing overall traffic flow stability and safety. Moreover, the increasing adoption of connected autonomous vehicles has led to improved driving efficiency, resulting in reduced energy emissions and decreased environmental pollution. This paper endeavors to conduct an extensive review concerning the effects of CAVs on mixed traffic flows, with a primary emphasis on their impact on traffic efficiency and congestion. Additionally, secondary aspects such as stability, safety, and environmental repercussions will be addressed. The article begins with a concise historical account of connected autonomous vehicles and their related technologies. Subsequently, an investigation was conducted into their impact on the mixed traffic environment, along with corresponding policy recommendations. Finally, potential avenues for future research were identified.
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