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Modeling Left-Turn Driving Behavior at Signalized Intersections with Mixed Traffic Conditions

机译:在混合交通状况下对信号交叉口的左转驾驶行为建模

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摘要

In many developing countries, mixed traffic is the most common type of urban transportation; traffic of this type faces many major problems in traffic engineering, such as conflicts, inefficiency, and security issues. This paper focuses on the traffic engineering concerns on the driving behavior of left-turning vehicles caused by different degrees of pedestrian violations. The traffic characteristics of left-turning vehicles and pedestrians in the affected region at a signalized intersection were analyzed and a cellular-automata-based "following-conflict" driving behavior model that mainly addresses four basic behavior modes was proposed to study the conflict and behavior mechanisms of left-turning vehicles by mathematic methodologies. Four basic driving behavior modes were reproduced in computer simulations, and a logit model of the behavior mode choice was also developed to analyze the relative share of each behavior mode. Finally, the microscopic characteristics of driving behaviors and the macroscopic parameters of traffic flow in the affected region were all determined. These data are important reference for geometry and capacity design for signalized intersections. The simulation results show that the proposed models are valid and can be used to represent the behavior of left-turning vehicles in the case of conflicts with illegally crossing pedestrians. These results will have potential applications on improving traffic safety and traffic capacity at signalized intersections with mixed traffic conditions.
机译:在许多发展中国家,混合交通是城市交通的最常见类型。这种类型的流量在流量工程中面临许多主要问题,例如冲突,效率低下和安全问题。本文重点研究交通工程对不同程度的行人违规行为引起的左转车辆驾驶行为的关注。分析了信号交叉口在受影响区域的左转车辆和行人的交通特征,并提出了一种基于元胞自动机的“跟随冲突”驾驶行为模型,该模型主要针对四种基本行为模式,以研究冲突和行为数学方法的车辆左转的机理。在计算机仿真中重现了四种基本的驾驶行为模式,并且还开发了行为模式选择的logit模型来分析每种行为模式的相对份额。最后,确定了受影响区域的驾驶行为的微观特征和交通流的宏观参数。这些数据对于信号交叉口的几何形状和通行能力设计至关重要。仿真结果表明,所提出的模型是有效的,可用于表示与非法横穿行人冲突时左转车辆的行为。这些结果将在改善混合交通条件下信号交叉口的交通安全和交通容量方面具有潜在的应用价值。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第5期|4015271.1-4015271.11|共11页
  • 作者单位

    Univ Sci & Technol, Sch Mech Engn, Beijing 100083, Peoples R China;

    Univ Sci & Technol, Sch Mech Engn, Beijing 100083, Peoples R China;

    Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China|Univ Wisconsin, Dept Civil & Environm Engn, Madison, WI 53706 USA;

    Univ Wisconsin, Dept Civil & Environm Engn, Madison, WI 53706 USA;

    ZTE Corp, MKT & Solut Dept, Shenzhen 518057, Peoples R China;

    North China Univ Technol, Sch Mech & Elect Engn, Beijing 100144, Peoples R China;

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