Research on Intelligent Traffic Signal Control Based on Deep Learning Network

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Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (1) : 17-20.

TECHNOLOGY TOPIC

Research on Intelligent Traffic Signal Control Based on Deep Learning Network

Zhou Yan

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Abstract

In the paper, an intelligent traffic signal control method based on deep learning network is designed.The data smoothing method is used to eliminate the trend of traffic flow data, the deep belief network model composed of multiple restricted Boltzmann machine models is used to learn the characteristics of traffic flow, and the short-term traffic flow is predicted combined with support vector regression.According to the prediction results and queue dissipation time, the release direction of traffic flow and the green light time of import release are judged in real time, so as to realize intelligent traffic signal control.The experiment results show that better short-term traffic flow prediction results can be obtained by setting the delay time and the number of nodes to 10 ms and 45 respectively.

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deep learning network / intelligent transportation / signal control / traffic flow forecast

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Zhou Yan. Research on Intelligent Traffic Signal Control Based on Deep Learning Network[J]. Integrated Circuits and Embedded Systems. 2022, 22(1): 17-20

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