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Self-organization of traffic lights for minimizing vehicle delay

机译:自组织交通信号灯,以最大程度地减少车辆延误

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Problems of delay and resultant driver frustration continue to get worse as congestion increases in large cities. The delays can be minimized by optimization of traffic signals. Traffic signal optimization is a complex problem making improvements difficult. Recent advances in sensors and communication have enabled the use of novel algorithms for improving traffic signal efficiency. This paper investigates the use of a distributed traffic signal control algorithm based on the concepts self-organization. The algorithm is benchmarked against traditional traffic signal algorithms. The self-organization based algorithms perform significantly better compared to the existing algorithms. A simulation model was created based on an abstraction of city road with multiple intersections using data on actual traffic counts. The results are presented in this paper along with the details of the algorithm.
机译:随着大城市拥堵的加剧,延误和导致驾驶员沮丧的问题继续恶化。通过优化交通信号可以将延迟最小化。交通信号优化是一个复杂的问题,难以改进。传感器和通信方面的最新进展使得能够使用新颖的算法来提高交通信号的效率。本文研究了基于概念自组织的分布式交通信号控制算法的使用。该算法以传统交通信号灯算法为基准。与现有算法相比,基于自组织的算法性能明显更好。基于对具有多个交叉路口的城市道路的抽象,使用有关实际交通计数的数据,创建了一个仿真模型。本文介绍了结果以及该算法的详细信息。

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