Collecting and Extracting Trajectories of Freeway Ramp Vehicles Using Unmanned Aerial Vehicles and Video Processing

Observing drivers as they travel along relatively long study areas , such as the ramp proper and speed-change lane (SCL) at entrance and exit interchange ramps, has been a challenge. Exiting traditional traffic data collection technologies suffer from numerous limitations and their use at high-speed facilities such as freeways can be either difficult, costly, or risky. In this paper, a methodological framework is presented for obtaining complete trajectory of freeway vehicles over the entire stretch of a ramp segment in a safe, efficient , and reliable manner using UAVs and video processing. The extraction of vehicle’s trajectories from the UAV footages was done in three steps using a combination of semi and automated approaches employing different software packages. The proposed methodology was verified with speed data acquired from differential GPS receivers using three different error metrics. The results revealed that the proposed methodology offers a great promise in providing reliable and comprehensive microscopic traffic data at ramp terminals including the ramp and speed change lane, which would help researchers to fill existing knowledge gaps about driver merging and diverging behavior and its interaction with the geometry of freeway ramps and terminals.

Language

  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 21p

Subject/Index Terms

Filing Info

  • Accession Number: 01763570
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-00384
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:06AM