Development of a semi manual approach for extraction of inter-pedestrian interactions at an overpass facility

The present study developed a novel method of semi-manual data extraction technique for pedestrian position (subsequently speed and trajectory) data using front inclined camera angle as many times top-down angle is unavailable due to height restrictions. Vanishing point method was used to extract data for pedestrian body dimensions across vertical and pedestrian-specific trajectory planes. Using the trajectory and body dimension information, the spacings maintained between pedestrians were estimated. Subsequently, JUPedSim software was used for extracting the fundamental macroscopic properties (speed, flow density) from the pedestrian position data, and the results were compared using classical and voronoi approaches.The developed technique was able to extract the pedestrian trajectories with an error (standard deviation) of 0.039 m at the exit section and 0.11 m at the entry section. The average lateral, longitudinal and diagonal clearances maintained by a pedestrian to walk comfortably were observed as 0.25m, 0.90m and 1.07m respectively. The comparison study for voronoi vs classical approach showed that voronoi approach had lower fluctuations in estimation of macroscopic parameters.This semi-manual technique could be helpful in study of pedestrian gap maintaining behavior and establishment of different threshold levels for the crowd management. Such approach can directly be applied to CCTV footage (which mostly gives front inclined views of camera) to ensure the social distancing in the current ongoing pandemic COVID-19. Further, the proposed approach can be made automated using the image processing tools for different applications like determination of pedestrian stream characteristics, level of services, safety evaluation and ensuring social distancing.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; Photos; References;
  • Pagination: 20p

Subject/Index Terms

Filing Info

  • Accession Number: 01764143
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-03897
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:20AM