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Urban arterial traffic two-direction green wave intelligent coordination control technique and its application

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  • Control Applications
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Abstract

This paper presents a new two-direction green wave intelligent control strategy to solve the coordination control problem of urban arterial traffic. The whole control structure includes two layers — the coordination layer and the control layer. Public cycle time, splits, inbound offset and outbound offset are calculated in the coordination layer. Public cycle time is adjusted by fuzzy neural networks (FNN) according to the traffic flow saturation degree of the key intersection. Splits are calculated based on historical and real-time traffic information. Offsets are calculated by the real-time average speeds. The control layer determines phase composition and adjusts splits at the end of each cycle. The target of this control strategy is to maximize the possibility for vehicles in each direction along the arterial road to pass the local intersection without stop while the utility efficiency of the green signal time is at relatively high level. The actual application results show the proposed method can decrease the average travel time and average number of stops, and increase the average travel speed for vehicles on the arterial road effectively.

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Authors and Affiliations

  1. School of Software, Dalian University of Technology, Dalian, 116620, China

    Xiangjie Kong, Feng Xia & Chuang Lin

  2. Department of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China

    Guojiang Shen

Authors
  1. Xiangjie Kong
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  2. Guojiang Shen
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  3. Feng Xia
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  4. Chuang Lin
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Corresponding author

Correspondence to Guojiang Shen.

Additional information

Recommended by Editorial Board member Kyongsu Yi under the direction of Editor Young-Hoon Joo. This work was supported by Natural Science Foundation of China under grant 50708094, 60903153, Zhejiang Province Natural Science Foundation of China under grant Y1090208, National High Technology Research and Development Program of China under grant 2007AA11Z216.

Xiangjie Kong received his Ph.D. degree from Zhejiang University, Hangzhou, China in 2009. Currently, he is an assistant professor in Dalian University of technology, Dalian, China. His current research interests include urban road traffic modeling and control technology, cyber physical systems and complex networks.

Guojiang Shen received his Ph.D. degree from Zhejiang University, Hangzhou, China in 2004. Currently, he is an associate professor in Zhejiang University, Hangzhou, China. His current research interests include intelligent control theory and application, advanced control technology and application, urban road traffic modeling and control technology.

Feng Xia received his Ph.D. degrees from Zhejiang University, China, in 2006. He is currently an associate professor in Dalian University of technology, Dalian, China. His research interests include cyber-physical systems, wireless sensor/ actuator networks, real-time and embedded systems, ambient intelligence, and real-time control.

Chuang Lin received his Ph.D. degree from Harbin Institute of Technology, Harbin, China, in 2008. Currently, he is an assistant professor in Dalian University of Technology, Dalian, China. His current research interests include information hiding, multiple description coding, and information security etc.

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Kong, X., Shen, G., Xia, F. et al. Urban arterial traffic two-direction green wave intelligent coordination control technique and its application. Int. J. Control Autom. Syst. 9, 60–68 (2011). https://doi.org/10.1007/s12555-011-0108-4

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  • DOI: https://doi.org/10.1007/s12555-011-0108-4

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