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CHEN Da-shan, SUN Jian, LI Ke-ping. Speed guidance predictive control model on urban expressway[J]. Journal of Traffic and Transportation Engineering, 2012, 12(1): 102-107. doi: 10.19818/j.cnki.1671-1637.2012.01.016
Citation: CHEN Da-shan, SUN Jian, LI Ke-ping. Speed guidance predictive control model on urban expressway[J]. Journal of Traffic and Transportation Engineering, 2012, 12(1): 102-107. doi: 10.19818/j.cnki.1671-1637.2012.01.016
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Speed guidance predictive control model on urban expressway

doi: 10.19818/j.cnki.1671-1637.2012.01.016

  • School of Transportation Engineering, Tongji University, Shanghai 201804, China

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  • Author Bio:

    CHEN Da-shan(1983-), male, doctoral student, +86-21-69583656, shyits@126.com

    LI Ke-ping(1960-), male, professor, PhD, +86-21-69583656, keping_li@vip.163.com

  • Publish Date: 2012-02-25
    Abstract
  • In the control system of urban expressway, speed guidance was taken as control variable, and the macro dynamic traffic flow of urban experssway model was established. Total vehicle traveling time and speed guidance were taken as objective functions, and the entrance flows of urban expressway and ramp were calculated. The speed guidance predictive control model of urban expressway was established to optimize speed guidance, and the mutation of downstream traffic flow was simulated by using MATLAB. Simulation result shows that because of speed guidance control, the average speed of traffic flow increases from 72. 704 6 km~ h-1 to 74. 167 6 km ~ h-1, the average density of traffic flow decreases from 23. 011 2 veh ~ km-1 to 21. 156 7 veh ~ km-1, and their fluctuations are less than 8%. The speed variance of traffic flow decreases, and the maximum value is only 420 (kin ~ h-1)2. The speed and density deviation ratios between before and after speed guidance control are 3.57 and 1.91 respectively. During traffic flow's mutation period, the speed and density deviation ratios between before and after speed guidance control are 4. 56 and 2. 34 respectively. So the control model is effective.

     

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