›› 2012, Vol. ›› Issue (03): 623-628.

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Improved social force model considering pedestrian deceleration to avoid collision

LI Shan-shan1,2, QIAN Da-lin1,2, WANG Jiu-zhou3   

  1. 1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;
    2. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;
    3. Tianjin Municipal Engineering Design & Research Institute, Tianjin 300051, China
  • Received:2011-01-17 Online:2012-05-01

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Abstract: In order to simulate the pedestrian flows in the normal conditions realistically, the issue of the social force model, a simulated pedestrian continuously pushing over other pedestrians, was solved by introducing a pedestrian deceleration avoidance mechanism and analyzing the pedestrian required space. The improved model was simulated by program compiled with C++ language to validate its effectiveness. The simulation results showed that the pedestrian can avoid other pedestrians or obstacles effectively. The simulation data were fitted by means of the generalized regression neural network, and an obtained velocity-density diagram of the pedestrian flow was compared with its real data. The compared result showed when the pedestrian density in the range of 0~3.5 p/m2, the proposed model can reproduce the basic behavior of the pedestrian flow.

Key words: engineering of communications and transportation system, pedestrian traffic, social force model, simulation

CLC Number: 

  • U491
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