影响因子：8.4
DOI码：10.1016/j.trc.2026.105944
所属单位：Hefei University of Technology
发表刊物：Transportation Research Part C
刊物所在地：UK
项目来源：国家自然科学基金项目
摘要：With the gradual popularization of connected and automated vehicle (CAV) technologies, urban traffic systems increasingly rely on communication networks to achieve vehicle-infrastructure cooperation and cloud-based control. However, when communication networks suffer from cyberattacks, non-linear changes in the macroscopic traffic flow characteristics are induced, which result in traffic network capacity attenuation and throughput degradation. To resist the adverse effects of cyberattacks on network traffic states, this paper proposes a state-degradation-risk-embedded sliding mode perimeter (SDRE-SMP) control approach based on the macroscopic fundamental diagram (MFD) theory. First, the network traffic flow is divided into five states through fuzzy inference based on MFD characteristics. On this basis, the “state risk flow” is introduced to accurately quantify the disruption caused by cyberattacks to the supply-demand balance. Second, according to the vehicle accumulation ratio and risk flow intensity, a dynamic state transition probability matrix is constructed to predict the risk probability of the network state transitioning to a deteriorated state. A comprehensive state degradation risk index is then formulated by assigning differentiated weights. Third, target vehicle accumulation is dynamically adjusted based on the network state degradation condition, and a regional sliding mode perimeter controller incorporating the comprehensive degradation risk index is developed. Finally, in a scenario of a 9×9 grid road network with a central 4×4 grid region under four different cyberattack modes, four control methods are tested: no control, PI control, resilient perimeter control (RPC), model predictive control (MPC) with dynamic target vehicle accumulation, and SDRE-SMP control. Comparison results demonstrate that SDRE-SMP control can effectively suppress the regional MFD capacity attenuation and traffic congestion caused by cyberattacks. These results suggest that the proposed approach can not only improve traffic flow operational efficiency but also significantly reduce total delay and lower carbon emissions.
论文类型：期刊论文
学科门类：工学
文献类型：J
卷号：193
页面范围：105944
字数：13000
是否译文：否
发表时间：2026-08-18
收录刊物：SCI、EI
发布期刊链接：https://www.sciencedirect.com/science/article/pii/S0968090X26004304