Intelligent transportation systems (ITS) use information technology and control devices like traffic lights and sensors to help commuters in achieving flow coordination, improving safety and smoothness in mobility and providing valuable information to public managers. But ITS devices are not free of vulnerabilities against cyber-attacks and failures. The impacts of traffic light disruption will be different for different street network structures. Complex network analysis can be used to evaluate critical infrastructures like street networks, revealing patterns of flow distribution, path redundancy, efficiency and robustness. But, at the present moment, the correlations between street network topology and the impact of traffic light disruptions were not sufficiently addressed in the literature. This work aims to evaluate the role of topological configuration and resilience of street networks when subjected to traffic light disruption, 50000 trips were simulated using three attack strategies that prioritize traffic lights based on complex network centrality metrics. Complex street, network analysis is used to interpret the results of the trip simulation.

智能交通系统 (ITS) 使用信息技术和交通灯和传感器等控制设备来帮助通勤者实现流量协调，提高出行的安全性和顺畅性，并为公共管理人员提供有价值的信息。但 ITS 设备并非没有针对网络攻击和故障的漏洞。对于不同的街道网络结构，交通灯中断的影响会有所不同。复杂网络分析可用于评估街道网络等关键基础设施，揭示流量分布模式、路径冗余、效率和稳健性。但是，目前，街道网络拓扑与交通灯中断影响之间的相关性在文献中没有得到充分解决。这项工作旨在评估街道网络在遇到交通灯中断时的拓扑配置和弹性的作用，使用三种攻击策略模拟了 50000 次行程，这些攻击策略基于复杂的网络中心性指标优先考虑交通灯。复杂的街道，网络分析用于解释旅行模拟的结果。