Trajectory data-based traffic flow studies: A revisit

Li Li; Rui Jiang; Zhengbing He; Xiqun (Michael) Chen; Xuesong Zhou

doi:10.1016/j.trc.2020.02.016

Trajectory data-based traffic flow studies: A revisit

Li Li, Rui Jiang, Zhengbing He, Xiqun (Michael) Chen, Xuesong Zhou

Research output: Contribution to journal › Review article › peer-review

3 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	225-240
Number of pages	16
Journal	Transportation Research Part C: Emerging Technologies
Volume	114
DOIs	https://doi.org/10.1016/j.trc.2020.02.016
State	Published - May 2020
Externally published	Yes

Keywords

Big data
Data collection
Traffic flow
Trajectory data

ASJC Scopus subject areas

Civil and Structural Engineering
Automotive Engineering
Transportation
Computer Science Applications

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title = "Trajectory data-based traffic flow studies: A revisit",

abstract = "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.",

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AU - Jiang, Rui

AU - He, Zhengbing

AU - Chen, Xiqun (Michael)

AU - Zhou, Xuesong

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AB - 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.

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