Traffic Control Guidance Coordination Model Based on Neural Network

Computer & Telecommunication

2017, Vol. 1

Issue (7): 17-22 DOI:

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Traffic Control Guidance Coordination Model Based on Neural Network

Fu Gui^1,2，Yang Zhaoxia³，Zhou Quan⁴

Guangzhou Genlord Institute Guangzhou InfoBay Information Technology Consultant Co.Ltd. Sun Yat-sen University Guangzhou University

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Abstract In view of the shortage of traditional traffic control and guidance model and algorithms, the traffic control and guidance model based on central coordination system (CCOS) is proposed. In this model, the short-term traffic prediction of past traffic data, the result of traffic incident detection and the real-time traffic flow data are used to design the traffic-oriented dynamic traffic information fusion. Moreover, using the neural network technology, the traffic control and guidance coordination model based on neural network system is presented. Its parameters are decided by the experiments. Finally, a number of typical local road networks are selected for simulation comparative experiments. The experiments show this model is feasible and effective.

Key words： traffic control traffic guidance data fusion neural network coordination model

Published: 16 November 2017

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Cite this article:

Fu Gui, Yang Zhaoxia, Zhou Quan. Traffic Control Guidance Coordination Model Based on Neural Network. Computer & Telecommunication, 2017, 1(7): 17-22.

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https://www.computertelecom.com.cn/EN/ OR https://www.computertelecom.com.cn/EN/Y2017/V1/I7/17

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