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QU Da-yi, WAN Meng-fei, WANG Zi-lin, XU Xiang-hua, WANG Jin-zhan. Arterial coordination control optimization and application[J]. Journal of Traffic and Transportation Engineering, 2016, 16(5): 112-121. doi: 10.19818/j.cnki.1671-1637.2016.05.013
Citation: QU Da-yi, WAN Meng-fei, WANG Zi-lin, XU Xiang-hua, WANG Jin-zhan. Arterial coordination control optimization and application[J]. Journal of Traffic and Transportation Engineering, 2016, 16(5): 112-121. doi: 10.19818/j.cnki.1671-1637.2016.05.013
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Arterial coordination control optimization and application

doi: 10.19818/j.cnki.1671-1637.2016.05.013

  • School of Automobile and Transportation, Qingdao University of Technology, Qingdao 266520, Shandong, China

More Information
  • Author Bio:

    QU Da-yi(1973-), male, professor, PhD, +86-532-86879587, dyqu@263.net

  • Received Date: 2016-03-21
  • Publish Date: 2016-10-25
    Abstract
  • The internal mechanism of arterial coordination control was analyzed based on the arrival characteristics of traffic flow at adjacent signal intersections.According to the queue state at downstream intersection, considering the constraint condition that signal state was green light when head and tail vehicles arrived, the phase offset models were proposed under three kinds of queue states including no queue, first queue and second queue.The quantitative relationship among phase offset, queue length, green time and cycle were researched.Given the relevance among the arterial intersections and the relationship between traffic demand and supply, the optimization strategy for arterial cycle, phase sequence and green ratio was proposed.Thirteen signal intersections along Binhai Road in Qingdao were selected to do case analysis.Calculation result shows that after the coordination control scheme of bidirectional green wave is used, the total travel time from east to west on Binhai Road decreases by 27.5% from 779 sto 564 sand the total stopping number of vehicle decreases from 6 to 2.The total travel time from west to east decreases by 26.5% from 806 sto 592 sand the total stopping number of vehicle decreases from 5 to 2.The phase offset model and its optimization strategy have remarkable optimization effect on the travel time and stopping number of vehicle, and this model has feasibility and practicability.

     

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