Journal of Guangxi Normal University(Natural Science Edition) ›› 2019, Vol. 37 ›› Issue (4): 1-15.doi: 10.16088/j.issn.1001-6600.2019.04.001

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Mixed Traffic Flow Model of Signalized Intersections Involving Pedestrian Comity

KUANG Xianyan*, CHEN Ziru   

  1. School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou Jiangxi 341000, China
  • Received:2018-11-20 Online:2019-10-25 Published:2019-11-28

Abstract: Based on the reality of urban traffic and that some intersections are relatively narrow, a CA model is established by setting the right turning lane in the parking line. Different from other models, the control of signal lights and the mixed traffic flow of motor vehicles and non-motor vehicles are considered, and the rule of non-motor vehicle courtesy and non-motor vehicle occupation rules for pedestrians crossing the street are also introduced in the model. Based on the model, the conflict relation and comity behavior between the crosswalk and the mixed traffic of non-motor vehicles are studied. At the same time, this paper also studies the influence of queue of some non-motor vehicles on traffic capacity at intersections. Furthermore, according to the new model the conflict between right turning motor vehicles and non-motor vehicles at the intersection is studied. The results show that both of the number of direct non-motor vehicles and the right-turn motor vehicles lead to the increase of conflict between VDOC(vehicle declaration occurrences caused by conflicts) and NMDOC(non-motor vehicle declaration occurrences caused by conflicts), while the increase of right-turn vehicles also makes DOP(declaration occurrences caused by pedestrians) conflict increase.

Key words: cellular automata, mixed traffic flow, intersection, conflicts, traffic capacity

CLC Number: 

  • U491
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