文章编号： 1672-5328（2024）05-0101-08

程国柱1，王浩宇1，孙雪岩2
(1. 东北林业大学土木与交通学院，黑龙江哈尔滨150040；2. 威海市第一中学，山东威海264200)

摘要： 不同类型驾驶人对城市道路信号控制交叉口车道排队长度的敏感性有差异，进而导致选择换 道的位置也不相同。为探究这种差异对交叉口进口道交通流的影响，构建城市道路信号控制交叉口 进口道元胞自动机模型，探讨不同驾驶风格下换道行为对交叉口进口道各车道累计通过车辆数、平 均车辆密度和平均运行速度的影响。结果表明：保守型驾驶人比例越高，各个车道的排队不均匀现 象越明显；不同驾驶风格比例对左转车道的通行效率影响较小、对直行车道的通行效率影响较大； 激进型驾驶人比例越高，直行车道交通流受换道行为的影响越大、通行效率降低的幅度越大；保守 型驾驶人比例越高，直行车道交通流受换道行为的影响越小，对通行效率的影响也越小。最后指 出，通过采取措施引导驾驶人提前选择合适的行驶车道，可有效减少拥堵区域换道行为的发生进而 提升交叉口整体通行效率。

关键词： 交通控制；元胞自动机；换道行为；交叉口进口道；交通流；驾驶风格

中图分类号： U491

文献标识码：A

The Impact of Lane-Changing Behavior on Traffic Flow at Intersection Approaches

CHENG Guozhu1,WANG Haoyu1, SUN Xueyan2
(1. School of Civil and Traffic, Northeast Forestry University, Harbin Heilongjiang 150040, China; 2. Weihai No.1 High School, Weihai Shandong 264200, China)

Abstract： Different types of drivers exhibit various sensitivities to queue lengths at urban signalized intersections, leading to variations in their choice of lane-changing locations. To investigate the impact of these differences on traffic flow at intersection approaches, this paper establishes a cellular automaton model for signalized intersection approaches on urban roads. This model explores how lane-changing behavior under different driving styles affects the cumulative number of vehicles passing through each lane, average vehicle density, and average operating speed at intersection approaches. The results indicate that higher proportion of conservative drivers leads to more substantial uneven queuing phenomenon across lanes. The proportion of different driving styles, while having minor impact on the efficiency of left-turn lanes, significantly affects the efficiency of through lanes. As the proportion of aggressive drivers increases, the impact of lane-changing behavior on the traffic flow of through lanes intensifies with greater reduction of traffic efficiency. Conversely, a higher proportion of conservative drivers results in lower impact of lane-changing behavior on the through- lane traffic flow and smaller effect on traffic efficiency. Finally, this paper suggests that using measures to guide drivers in selecting appropriate lanes in advance can effectively reduce lane-changing behavior in congested areas and enhance the overall traffic efficiency at intersections.

Keywords： traffic control; cellular automaton; lane-changing behavior; intersection approach; traffic flow; driving style