Travel Time Estimation Based on Built Environment and Low Frequency Floating Car Data

被引：0
|
作者：
Zhong S.-P. [1 ]
He J. [1 ]
Zhu K.-L. [2 ]
Zou Y.-Q. [3 ]
Jun H.-M. [4 ]
机构：
[1] School of Transportation & Logistics, Dalian University of Technology, Dalian
[2] School of Traffic and Transportation, Beijing Jiaotong University, Beijing
[3] Chongqing Transport Planning Institute, Chongqing
[4] Dalian Land Space Planning and Design Co. Ltd., Dalian
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2021年 / 21卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Built environment; Floating car data; Maximum likelihood estimation; Travel time distribution; Travel time estimation; Urban traffic;
D O I：
10.16097/j.cnki.1009-6744.2021.04.015
中图分类号：
学科分类号：
摘要：
This paper takes the relevant attributes of the built environment around the urban road as the explanatory variable of the road travel time, studying the impact on the travel time combined with low-frequency floating car data without complex GPS information, such as speed. At the same time, a new estimation method of link travel time distribution is proposed, which uses the distribution of the number of vehicles in the link as the proportional coefficient of link travel time distribution instead of its length, obtaining the distribution of link travel time. To verify the correctness of the proposed method, this paper takes Jinshan street in Zhenxing District, Dandong City, Liaoning Province as the example to obtain the impact parameters of the various built environment on travel time with the maximum likelihood estimation method. The results show that the built environment around the road will lead to a significant increase in the travel time of the road section in different periods. The impact time of schools is mainly from 6:00 to 7:20, while hospitals and clinics are mainly from 7:00 to 8:00, and the travel time increment caused by intersections is relatively average in the whole research scope. Finally, through the likelihood ratio test, the reliability of taking built environment variables as the influencing factors of travel time is verified. Copyright © 2021 by Science Press.
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页码：125 / 131and147
相关论文
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