城市道路场景中车辆驾驶行为分析及统一建模  

Vehicle driving behavior analysis and unifiedmodeling in urban road scenarios

作　　者：王可栋 曲含章 马敏 崔善柠[3] 康爱平 WANG Kedong;QU Hanzhang;MA Min;CUI Shanning;KANG Aiping(Intelligent Manufacturing Institute,Qingdao Huanghai University,Qingdao 266427,China;School of Mechanical and Automotive Engineering,Qingdao University of Technology,Qingdao 266525,China;Chang’an Dublin International College of Transportation,Chang’an University,Xi’an 710064,China;Qingdao Hicorp Heavy Industry Science&Technology Co.Ltd.,Qingdao 266400,China;College of Energy and Mining Engineering,Shandong University of Science and Technology,Qingdao 266590,China;College of Business and Economics,Lanzhou Modern Vocational College,Lanzhou 730300,China;School of Civil Engineering,Qingdao University of Technology,Qingdao 266525,China)

机构地区：[1]青岛黄海学院智能制造学院,青岛266427 [2]青岛理工大学机械与汽车工程学院,青岛266525 [3]青岛理工大学土木工程学院,青岛266525 [4]长安大学长安都柏林国际交通学院,西安710064 [5]青岛环球重工科技有限公司,青岛266400 [6]山东科技大学能源与矿业工程学院,青岛266590 [7]兰州现代职业学院财经商贸学院,兰州730300

出　　处：《青岛理工大学学报》2024年第4期154-162,共9页Journal of Qingdao University of Technology

基　　金：国家自然科学基金资助项目(52272311);西海岸新区高校校长基金(GXXZJJ202301)。

摘　　要：为提高城市道路微观交通流的仿真精度和效率,以信号交叉口进口道换道车辆及其目标车道上跟驰车辆作为研究对象,提出一种考虑车辆驾驶员行为特征的统一建模方法。以驾驶员多向多车预期能力为基础,引入侧向车辆影响系数,将全速度差跟驰模型拓展为描述换道过程中换道车辆和跟驰车辆纵向行驶动作的微观交通流模型,通过改进跟驰模型中的优化车速函数,将交通控制信号和换道类型对驾驶员决策的影响纳入模型中。研究结果表明:换道过程中侧向行驶车辆运动状态和换道类型变化对跟驰行为的影响要高于换道行为;不同类型换道场景中驾驶人对外界刺激的主要关注点会发生变化;全速度差模型比Gipps模型更适合作为基础模型用来模拟城市道路微观交通流。In order to improve the simulation accuracy and efficiency of microscopic urban traffic,a unified modeling method considering the behavioral characteristics of vehicle drivers is proposed by taking the lane-changing vehicles on the inlet lanes of signalized intersections and the following vehicles on the target lanes as the research objects.Based on the driver’s multidirectional multi-vehicle anticipation capability and introducing lateral vehicle influence coefficients,the full velocity difference car following model was extended to the microscopic traffic model that can describe the longitudinal movements of lane-changing vehicles and following vehicles during lane changing.The influence of traffic control signals and types of lane changing on drivers’decisions were integrated into the model by reformulating the optimal velocity function of the basic car following model.Results show that in the process of lane changing car following behavior is more sensitive to the status of lateral moving vehicles and the change of lane-changing types than to the lane changing behavior,and the driver’s chief attention to external stimuli changes in different types of lane change scenarios.Compared with Gipps model,full velocity difference car following model is more suitable to be taken as the basic model to simulate microscopic urban traffic.

关 键 词：驾驶行为 统一建模 换道模型 跟驰模型 多向多车预期能力 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]