Journal of Guangxi Normal University(Natural Science Edition) ›› 2015, Vol. 33 ›› Issue (1): 7-14.doi: 10.16088/j.issn.1001-6600.2015.01.002

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Cellular Automata Simulation Model for Urban MixedNon-motor Vehicle Flow

KUANG Xian-yan, WU Yun, CAO Wei-hua, WU Yin-feng   

  1. School of Electrical Engineering and Automation, Jiangxi University of Science and Technology,Ganzhou Jiangxi 341000, China
  • Received:2014-11-06 Online:2015-03-15 Published:2018-09-17

Abstract: In china, especially in small and medium-sized cities, mixed non-motor bicycle flow mainly consists of electric bicycles and electro-tricycles. According to the difference in the actual size and driving characteristics of the two kinds of fransportation tools, a mixed non-motor vehicles cellular automata model for mulfiple lans is established considering the velocity effect based on STNS (Symmetric Two-lane NaSch) model. The basic diagrams are obtained under different proportion of electro-tricycle, braking probability and lane-changing probability through computer numerical simulation. The results show that the phenomenon of segregation appeares with the increase of the electric tricycle proportion, and mixed non-motor vehicle traffic capacity and the decreased average velocity. The electric tricycle reduction behavior are more likely to cause congestion with the increase of probability of slowing down. The lane-changing behavior probability has little effect on non motor vehicle mixed traffic flow. With the increase of the lane occupancy, the electric bicycle lane-changing rate curve quickly decreaces to 0, while the electro-tricycle lane-changing rate curve presented increases firstly then decreases.

Key words: traffic engineering, cellular automata, electro-tricycle, electric bicycle, lane-changing rate

CLC Number: 

  • O415.3
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