Abstract Urbanism development makes cities more congested and then more polluted. Hence, the primary factor that influences the urban environment directly is traffic flow. Therefore, this complex system requires efficient control methods to reduce its impact at urban zones, in particular for traffic light within intersections. In this paper, a dynamic control strategy of traffic signal at urban intersections is proposed. This strategy is based on Knapsack-problem and enables to manage the green light duration autonomously following the queue length for each road lane. The dynamic behavior of this system is considered as a discrete event system. Consequently, a modular Timed Synchronized Petri Net (TSPN) model is developed. Depending on real-time communication, the TSPN modules represent the ”slaves”, and the responsive controller represents the ”master” that manage optimally the vehicles evacuation at the intersection. Moreover, for the system dependability, some interesting properties of the system are checked through the developed Petri net model. SUMO based simulations are performed and analyzed to validate the proposed approach. Through the performed simulations and the analysis of the proposed dynamic control approach and findings show the efficiency of our control policy about smooth traffic increasing and environmental impact reducing.

中文翻译：

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基于背包问题的城市十字路口交通信号管理控制方法：增加顺畅的交通流量并减少对环境的影响

摘要 城市化的发展使城市变得更加拥挤，然后更加污染。因此，直接影响城市环境的主要因素是交通流量。因此，这个复杂的系统需要有效的控制方法来减少其对市区的影响，特别是对十字路口内的交通灯的影响。本文提出了一种城市十字路口交通信号的动态控制策略。该策略基于背包问题，能够根据每个车道的排队长度自主管理绿灯持续时间。该系统的动态行为被视为离散事件系统。因此，开发了模块化的定时同步 Petri 网 (TSPN) 模型。根据实时通信，TSPN 模块代表“从站”，响应式控制器代表最佳管理交叉路口车辆疏散的“主人”。此外，为了系统的可靠性，通过开发的 Petri 网模型检查系统的一些有趣的属性。执行和分析基于 SUMO 的模拟以验证所提出的方法。通过所进行的模拟和对所提出的动态控制方法的分析，结果表明我们的控制策略在增加平稳交通和减少环境影响方面的效率。