Influence of Lane Demarcation Patterns on Lane-changing Behavior

被引：0

作者：

Deng J.-H. ^{[1
]}

Feng H.-H. ^{[1
]}

机构：

[1] College of Civil Engineering, Suzhou University of Science and Technology, Suzhou, 215011, Jiangsu

来源：

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2019年 / 19卷 / 02期

关键词：

Analytic hierarchy process; Cellular automaton; Intelligent transportation; Lane demarcation pattern; Multi-attribute lane-changing decision;

D O I：

10.16097/j.cnki.1009-6744.2019.02.022

中图分类号：

学科分类号：

摘要：

In order to explore the influence of different lane demarcation patterns on lane-changing behavior, a multi-attribute lane-changing decision model based on analytic hierarchy process(AHP) is proposed to improve the lane-changing rule of symmetric two-lane cellular automata(STCA), that on the base of the analysis of the lane-changing decision mechanism and lane-changing decision attributes. Setting different lane demarcation patterns on a one-direction-three-lane way to operate the model obtains the probability of lane-changing motivation and of lane-changing success under different space occupancy rate. Results show that: the probability of lane-changing motivation is directly related to the internal state attribute of traffic flow; the success probability of lane-changing is determined by the internal state attributes of traffic flow and the lane demarcation patterns which have corresponding effects on lane-changing behavior. It is shown that this paper's model can better interpret the traffic management and regulation implications of different lane demarcation patterns, has the ability to deal with multiple external decision attributes at the same time, and strong generality. Copyright © 2019 by Science Press.

引用

页码：153 / 159

页数：6

共 11 条

[1] Rickert M., Nagel K., Schreckenberg M., Et al., Two lane traffic simulations using celluar automata, Physica a Statistical Mechanics & Its Application, 231, 4, pp. 534-550, (1996)
[2] Hidas P., Modelling vehicle interactions in microscopic simulation of merging and weaving, Transportation Research Part C, 13, 1, pp. 37-62, (2005)
[3] Li X.G., Jia B., Gao Z.Y., Et al., A realistic two-lane cellular automata traffic model considering aggressive lane-changing behavior of fast vehicle, Physica A, 367, pp. 479-486, (2006)
[4] Wang Y.N., Zhou Z.L., Wang X.W., Lane changing model with fuzzy control based on cellular automata, Computer Applications, 27, 5, pp. 1197-1200, (2007)
[5] Wang Y.M., Zhou L.S., Lu Y.B., Lane changing rules based on cellular automaton traffic flow model, China Journal of Highway and Transport, 21, 1, pp. 89-93, (2008)
[6] Jia B., Jiang R., Wu Q.S., Et al., Honk effect in the two-lane cellular automation model for traffic flow, Physica A, 348, pp. 544-552, (2005)
[7] Liu X.M., Wang X.Y., Study of vehicle lane-changing behavior model of cellular automata based on information interaction, Application Research of Computers, 27, 10, pp. 3826-3828, (2010)
[8] Lv W., Song W.G., Fang Z.M., Et al., Modeling of lane-changing behaviour integrating with merging effect before a city road bottleneck, Physica A, 392, 20, pp. 5143-5153, (2013)
[9] Zhao H.T., Mao H.Y., Cellular automaton simulation of muti-lane traffic flow including emergency vehicle, Acta Phys. Sin, 62, 6, pp. 53-60, (2013)
[10] Deng J.H., Feng H.H., Multilane cellular automaton model based on the lane-changing mechanism, Journal of Transportation Systems Engineering and Information Technology, 18, 3, pp. 68-73, (2018)

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