Speed Distribution and Vehicle Type Classification of Mountain Expressway Based on Electronic Toll Collection Data

被引:0
|
作者
Xu J. [1 ,2 ]
Yang Z.-M. [1 ]
Chen Q. [1 ]
Chen Z.-W. [1 ]
机构
[1] College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing
[2] Chongqing Key Laboratory of "Human-Vehicle-Road" Cooperation and Safety for Mountain Complex Environment, Chongqing Jiaotong University, Chongqing
来源
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2022年 / 22卷 / 05期
关键词
ETC data; k-; medoids; mountain expressway; speed distribution; traffic engineering; vehicle type classification;
D O I
10.16097/j.cnki.1009-6744.2022.05.008
中图分类号
学科分类号
摘要
In order to study the classification method of mountain expressway vehicles, based on the electronic toll collection data (ETC data) of a section of Baomao expressway in Chongqing, the speed distribution characteristics of different vehicles in gentle sections and continuous uphill sections are analyzed. The speed distribution of some vehicles in different linear sections has obvious characteristics, the speed distribution of type-3 trucks on continuous uphill sections is hump-shaped due to the existence of the speed limit for type-4 passenger cars, and the speed distribution in gentle sections is concentrated on the maximum speed of 92 km·h-1. The speed distribution of different vehicles in a linear section is obviously different, and the speed distribution of passenger cars is scattered in the gentle sections yet relatively concentrated in the continuous uphill section, whereas the speed distribution of trucks is different; the speed eigenvalues of each vehicle on the continuous uphill section have decreased significantly, but the speed eigenvalues of some vehicles on the same road section are still relatively close. The speed dispersion of continuous uphill sections is greater than that of gentle sections, and the risk of rear-end collision is higher. Based on the ETC data, the k-medoids algorithm is used to perform a cluster analysis on the vehicles in the gentle section and the continuous uphill section of the mountain expressway. The gentle section vehicles can be divided into 4 categories, including type-1 passenger cars, type-2 to type-4 passenger cars, type-1 trucks, and type-2 to type-6 trucks. The vehicles can also be classified into 4 categories in continuous uphill sections, including type-1 to type-4 passenger cars, type-1 and type-3 trucks without load, type-2 trucks, type-4 trucks, type-3 trucks with a full load, and type-5 and type-6 trucks. This study is helpful for the formulation of speed management measures for mountainous expressways and the selection of representative vehicle types in road alignment design. © 2022 Science Press. All rights reserved.
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页码:75 / 84+116
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