Connected vehicle enabled hierarchical anomaly behavior management system for city-level networks

IF 4.3 Q2 TRANSPORTATION
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引用次数: 0

Abstract

Drivers who are distracted cannot operate their vehicles appropriately, which leads to error-prone behavior on the roads. This behavior increases the risk of collisions for both themselves and surrounding vehicles, making it urgent to manage anomalous vehicles with distracted drivers and mitigate their impacts on driving safety. To address this problem, this paper presents an anomaly behavior management system that leverages connected vehicles to improve the safety performance for both individual vehicles and the whole network. The proposed system integrates a hierarchical architecture that reduces the risk of collisions caused by anomalous vehicles in large-scale road networks. Connected vehicles monitor anomalous vehicles and estimate speed and lane-changing instructions to avoid dangerous behaviors. The benefits of the proposed system are evaluated using microscopic traffic simulation, which shows a reduction in the risk of collisions and improved mobility for both connected vehicles and the entire network. The paper also conducts a sensitivity analysis of the market penetration rates of connected vehicles and traffic demand levels to understand the system’s reliability at different development stages of connected vehicles and traffic congestion.
城市级网络的联网车辆分层异常行为管理系统
分心的驾驶员无法正确操作车辆,从而导致在道路上容易出错的行为。这种行为会增加自身和周围车辆发生碰撞的风险,因此迫切需要对驾驶员分心的异常车辆进行管理,减轻其对驾驶安全的影响。为解决这一问题,本文提出了一种异常行为管理系统,该系统利用联网车辆提高单个车辆和整个网络的安全性能。所提出的系统集成了一个分层架构,可降低大规模道路网络中异常车辆造成的碰撞风险。联网车辆监控异常车辆,并估算车速和变道指令,以避免危险行为。通过微观交通仿真评估了所提系统的优势,结果表明碰撞风险降低,互联车辆和整个网络的流动性都得到了改善。论文还对互联车辆的市场渗透率和交通需求水平进行了敏感性分析,以了解系统在互联车辆和交通拥堵的不同发展阶段的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Transportation Science and Technology
International Journal of Transportation Science and Technology Engineering-Civil and Structural Engineering
CiteScore
7.20
自引率
0.00%
发文量
105
审稿时长
88 days
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