摘要
单车道跟驰是驾驶员的主要跟驰行为之一,掌握微观跟驰行为特性对于深入认识宏观交通流特征、改善交通拥堵具有重要的理论意义和应用价值。已有研究发现,除相邻前导车外,下游多辆前导车的行驶状态亦对驾驶员跟驰行为产生影响。然而,目前尚无对下游前导车辆影响跟驰行为的空间范围的定量研究。以美国NGSIM数据为研究对象,定量化研究下游多前导车行驶速度对跟驰车辆运行特性的影响,同时分析了不同速度区间下,前导车对跟驰车产生影响的空间范围及变化趋势。利用Pearson相关系数计算下游车辆速度与跟驰车辆交通参数间的相关系数,进而分析其相关强度,评价其影响程度,为构建考虑下游多车影响的跟驰模型提供理论依据。
Car-following Driving on the single lane is one of the main car-following behaviors of the driver. Mastering the characteristics of microscopic car-following behavior has important theoretical significance and application value for understanding the characteristics of macroscopic traffic flow and improving traffic congestion. It has been found that,besides the adjacent guided vehicle,multiple guided vehicle downstream also have an impact on drivers’ car-following behavior. However,there is no quantitative study on the spatial range of guided vehicle’s influence on car-following behavior. Based on the data of NGSIM,the influence of the driving speed of multiple guided vehicle downstream on the running characteristics of the following vehicles is studied on quantitative research method. The spatial scope and the trend of the influence are also analyzed. In the study,the Pearson correlation coefficient is used to calculate the correlation coefficient between the downstream vehicle speed and the car-following vehicle traffic parameters. Then the correlation strength is analyzed,and the degree of influence is evaluated. The study can provide theoretic basis for constructing the car-following model considering the influence of the multi-vehicle downstream.
作者
杨海飞
粟海琪
胡欢
刘昶成
李睿
谯洋
YANG Haifei;SU Haiqi;HU Huan;LIU Changcheng;LI Rui;QIAO Yang(College of Civiland Transportation Engineering,Hohai University,Nanjing 210098, China)
出处
《现代交通技术》
2019年第1期72-76,共5页
Modern Transportation Technology
基金
国家自然科学基金项目(71801080)
中央高校基本科研业务费专项资金资助(2018B14314)
江苏博士后科研资助计划(2018K043B)
关键词
跟驰行为
多前导车
不同车速区间
Pearson相关系数
car-following behavior
multiple guided vehicle
different speed intervals
Pearson correlation coefficient