arrow
Return

Trajectory data-based traffic flow studies: A revisit

delete2020-05-01
delete162
delete
OA
AI
李力 (Li Li)
姜锐 (Rui Jiang)
Z
Zhengbing He *
X
Xiqun Chen *
X
Xuesong Zhou *
DOI:10.1016/j.trc.2020.02.016delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
In this paper, we review trajectory data-based traffic flow studies that have been conducted over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest in the latest developments of traffic flow theory that have been stimulated by the availability of trajectory data. We first highlight the critical role of trajectory data (especially the next generation simulation (NGSIM) trajectory dataset) in the recent history of traffic flow studies. Then, we summarize new traffic phenomena/models at the microscopic/mesoscopic/macroscopic levels and provide a unified view of these achievements perceived from different directions of traffic flow studies. Finally, we discuss some future research directions.
Keywords:
Traffic flow
Trajectory data
Data collection
Big data
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Transportation Research Part C-Emerging Technologies cover
Transportation Research Part C-Emerging Technologies
IF:
7.9
Papers:
4.7K
Citations:
3.2W

Organization

A
Arizona State University
Scholars:
2.7W
Papers: 2.5W
Citations: 4.2W
B
Beijing Jiaotong University
Scholars:
2.2W
Papers: 1.7W
Citations: 1.2W
T
tsinghua university
Scholars:
11.8W
Papers: 10.0W
Citations: 137
B
Beijing University of Technology
Scholars:
2.8W
Papers: 2.1W
Citations: 2.7W
Z
zhejiang university
Scholars:
17.5W
Papers: 12.0W
Citations: 152
researcher View more organizations