Model Free Adaptive Traffic Signal Control for Four-phase Intersections

2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)(2022)

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摘要
In the paper, an engineering-oriented model free adaptive control scheme is proposed for four-phase intersections. To achieve the queuing length equilibrium, the queuing length differences of each phase are taken as objective functions. The proposed method is applied to a single four-phase intersection and simulated in both medium and high traffic demand. Through the simulation, the proposed algorithm can make the queuing lengths of each phase at the intersection more balanced, and the average delay time of the vehicles is less. Therefore, the proposed control method is superior in the case of large randomness of vehicle arrival at each phase and large difference of traffic demand at each phase.
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关键词
Model free adaptive control,four-phase signal control,traffic demand
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