广西师范大学学报（自然科学版） ›› 2019, Vol. 37 ›› Issue (4): 1-15.doi: 10.16088/j.issn.1001-6600.2019.04.001

• •    下一篇

考虑礼让行人的交叉口机非混合交通流模型

邝先验*, 陈自如   

  1. 江西理工大学电气工程与自动化学院,江西赣州341000
  • 收稿日期:2018-11-20 出版日期:2019-10-25 发布日期:2019-11-28
  • 通讯作者: 邝先验(1976—),男,江西赣州人,江西理工大学教授,博士。E-mail:xianyankuang@163.com
  • 基金资助:
    国家自然科学基金 (51268017, 61463020);江西省教育厅科技项目(GJJ160609)

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

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摘要： 现实城市交通中,一些交叉口路口较为狭窄,将右转专用车道设置在停车线位置,本文以此建立了一种CA(cellular automata)模型。与其他模型不同的是,在考虑信号灯控制及机动车、非机动车混合车流的同时,在模型中加入了行人过街引发的机动车、非机动车礼让规则和非机动车占道规则,并根据该模型,研究交叉口行人与机动车非机动车混合车流的冲突关系和礼让行为,以及非机动车在交叉口占道排队对交叉口通行能力的影响,并根据所提出的模型,研究右转机动车和非机动车在交叉口处的冲突问题。结果显示直行非机动车与右转机动车数量都会导致VDOC(vehicle declaration occurrences caused by conflicts)和NMDOC(non-motor vehicle declaration occurrences caused by conflicts)冲突增加,两者正相关。同时,右转机动车的增加还使得DOP(declaration occurrences caused by pedestrians)冲突增加。

关键词: 元胞自动机, 混合车流, 交叉口, 冲突, 通行能力

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

中图分类号: 

  • U491
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