Characteristics of Heavy Vehicle Discretionary Lane Changing Based on Trajectory Data

被引:16
作者
Li, Gen [1 ]
Ma, Jianxiao [1 ]
Yang, Zhen [1 ]
机构
[1] Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing, Jiangsu, Peoples R China
关键词
data and data science; statistical methods; analysis; operations; traffic simulation; lane changing; pedestrians; bicycles; human factors; human factors of vehicles; driver behavior; DRIVERS MERGING BEHAVIOR; DRIVING BEHAVIOR; DECISION-MODEL; EXECUTION; DURATION;
D O I
10.1177/03611981211051337
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A comprehensive analysis of the motivations, gap acceptance, duration, and speed adjustment of heavy vehicle lane changes (LC) is conducted in this paper. An rich data set containing 433 discretionary LC trajectories of heavy vehicles is used in this study and the data set is divided into two data sets based on the LC direction (LC to the left lane [LCLL] and LC to the right lane [LCRL]) for comparison. It is seen that LCLL and LCRL have significantly different motivations, which also results in different gap acceptance behavior. However, the LC direction does not significantly influence the LC duration. The navigation speed significantly influences the LC duration of heavy vehicles and the LC duration will decrease with the increase of speed, indicating the substantial impact of traffic conditions on LC duration. An obvious speed synchronization phenomenon is found in the process of LCLL, which is not the case in LCRL. The results of this study highlight the distinct characteristics of the LC of heavy vehicles and produce a better understanding of the lane-changing behaviors of heavy vehicles. The fitted distributions of LC duration and further investigation into gap acceptance behaviors may be used for microscopic traffic simulation and auto driving.
引用
收藏
页码:258 / 275
页数:18
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