CONGEST traffic signal control based on macroscopic fundamental diagram

Guang Yang; Hang Jiang; Yi Zhang

doi:10.1117/12.2684080

14 June 2023 CONGEST traffic signal control based on macroscopic fundamental diagram

Guang Yang, Hang Jiang, Yi Zhang

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 127081G (2023) https://doi.org/10.1117/12.2684080
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

In order to alleviate the increasingly serious urban traffic congestion, a signal control scheme based on the characteristics of congestion development was proposed. The traffic flow prediction model is established based on the Cellular Automata (CA) model. The micro change law of the road network traffic flow was described, and the development characteristics of traffic congestion were predicted in real time. Signal control strategies under different congestion characteristics were obtained after research to prevent traffic congestion. The road network formed by the intersection of Xiyuan Road and Chang'an Road in Luoyang and the surrounding associated intersections was taken as a case, and the Simulink platform was used to build a simulation environment. The signal control scheme in this paper was simulated together with fixed signal control and self-organizing signal control. The results show that: after adopting this scheme, the traffic operation indicators of the road network are significantly improved; The development of congestion is effectively controlled; The ability to balance traffic load is significantly improved.

Citation Download Citation

Guang Yang, Hang Jiang, and Yi Zhang "CONGEST traffic signal control based on macroscopic fundamental diagram", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 127081G (14 June 2023); https://doi.org/10.1117/12.2684080

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