Implementing kinematic wave theory to reconstruct vehicle trajectories from fixed and probe sensor data

Babak Mehran, Masao Kuwahara, Farhana Naznin

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

A data fusion framework is examined to reproduce vehicle trajectories on urban arterials by combining probe and fixed sensor data, and signal timing parameters. The methodology is based on the kinematic wave theory and employs the variational theory for the solution method. However, the original methodology cannot deal with the vehicles coming in and out in the middle of the study section despite the frequent existence of such vehicles in the real world. Therefore, the methodology is extended so as to incorporate the vehicles coming in and out. The proposed method is then applied to real world data and its robustness is confirmed by changing the input data characteristics.

Original languageEnglish
Pages (from-to)144-163
Number of pages20
JournalTransportation Research Part C: Emerging Technologies
Volume20
Issue number1
DOIs
Publication statusPublished - 2012 Feb
Externally publishedYes

Keywords

  • Data fusion
  • Kinematic wave theory
  • Probe data
  • Travel time
  • Variational theory
  • Vehicle trajectory

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Computer Science Applications

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