影响因子：6.7
DOI码：10.1109/TNSE.2025.3560677
所属单位：Hefei University of Technology
教研室：School of Automotive and Transportation Engineerin
发表刊物：IEEE Transactions on Network Science and Engineering
刊物所在地：America
项目来源：National Natural Science Foundation of China
关键字：Connected vehicle environment, Cyberattacks, Macroscopic fundamental diagram (MFD), Rerouting, Road network
摘要：Connected Vehicle (CV) technology aims to enhance information transmission and resource sharing. However, the open-access environment makes the CVs vulnerable to cyberattacks, causing concerns about traffic downgrading or even paralysis. Existing studies on the traffic impact of cyberattacks primarily focus on individual vehicles or queues, ignoring the macro impact of attacks on the road network. To analyze the impact of cyberattacks on road network traffic performance at a regional level, this paper carries out three works. First, the traffic modelling under two cyberattack modes from the queuing scale and routing scale are provided, respectively. Second, we analyze the general analytical form of cyberattacks causing impacts on regional traffic based on Macroscopic fundamental diagram (MFD) theory and develop an evaluation index of road network efficiency under cyberattacks. Third, according to these two models and the evaluation index, the impacts of cyberattacks on the traffic performance of the road network are analyzed. The results showed that both scale models of cyberattacks affect the MFD, and the road network performance, which makes it more vulnerable. The results also showed that there is a significant difference in the effect of the rerouting capability of CVs on the road network performance under different cyberattack.
论文类型：期刊论文
学科门类：工学
文献类型：J
页面范围：3560677
字数：14000
是否译文：否
发表时间：2025-04-17
收录刊物：SCI、EI
发布期刊链接：https://doi.org/10.1109/TNSE.2025.3560677