Trajectory data-based traffic flow studies: A revisit

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

Research output: Contribution to journalReview articlepeer-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 languageEnglish (US)
Pages (from-to)225-240
Number of pages16
JournalTransportation Research Part C: Emerging Technologies
Volume114
DOIs
StatePublished - May 2020
Externally publishedYes

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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