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Cooperative Traffic Light Control Based on Semi-Real-Time Processing

Qin Zhu 1, Chao Peng 1, Jingmin Shi 1, Pengfei Duan 1, Yu Bao 1, and Mengjun Xie 2
1. Shanghai Key Lab of Trustworthy Computing, Software Engineering Institute, East China Normal University, China
2. University of Arkansas at Little Rock, Little Rock, AR 72204, USA
Abstract—In this paper, we investigate cooperative traffic light control for multiple intersections based on semi-realtime processing. As urban traffic congestion problems is increasingly aggravating, existing traffic light controllers can no longer satisfy the rising demands for efficiently easing traffic pressure. In this paper, we propose an adaptive traffic light control algorithm based on semi-realtime processing and cooperation among traffic light controllers. We set fixed phase duration between traffic light phases in advance. For each intersection, the controller determines the next traffic light phase by prediction of traffic situation for the next period. To evaluate our proposed algorithm, we construct four traffic scenarios and run simulations with combination of NS3 and SUMO. The simulation results demonstrate that our proposed algorithm is effective and practical in different scenarios; it can reduce traffic load and average waiting time of vehicles, as well as enhance traffic throughput of intersections.

Index Terms—traffic light, traffic simulation, cooperative control, SUMO, NS3

Cite: Qin Zhu, Chao Peng, Jingmin Shi, Pengfei Duan, Yu Bao, and Mengjun Xie, "Cooperative Traffic Light Control Based on Semi-Real-Time Processing," Jounal of Automation and Control Engineering, Vol. 4, No. 1, pp. 40-46, February, 2016. doi: 10.12720/joace.4.1.40-46
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