Segmenting, Grouping and Tracking Vehicles in LIDAR Data

This report presents the methodology and results from a study to extract empirical microscopic vehicular interactions from an instrumented probe vehicle. The contributions of this work are twofold: first, the general method and approach to seek a cost-effective balance between automation and manual data reduction that transcends the specific application; and second, the resulting empirical data set is intended to help advance traffic flow theory in general and car following models in particular. Section 1 provides an introduction and reviews the history of empirical freeway traffic flow studies to place the work in context. Section 2 presents the methodology, starting with a review of the instrumentation on the probe vehicle and the route taken by the probe vehicle, then continuing into the process of extracting information from the raw data. Section 3 presents the results. The report closes in Section 4 with conclusions and a discussion of the limitations.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; References;
  • Pagination: 33p

Subject/Index Terms

Filing Info

  • Accession Number: 01653363
  • Record Type: Publication
  • Report/Paper Numbers: NEXTRANS Project No. 124OSUY2.1
  • Contract Numbers: DTRT12-G-UTC05
  • Files: UTC, NTL, TRIS, RITA, ATRI, USDOT
  • Created Date: Nov 30 2017 11:07AM