Analysis of Cyclist Behaviour At Cycling Network Discontinuities Using Computer Vision

The primary purpose of any transportation network is to provide connectivity between the origin and travel destination. However, given the vehicle-oriented structure of the road network, there are interruptions in the later implemented cycling network. Discontinuities are interruptions in the cycling network where cyclists are faced with unexpected situations such as the end of a cycling facility or the change from one facility type to another that are perceived as inconvenient and less safe. Cyclist behaviour assessment at these points of discontinuity has been overlooked in literature. This study proposes a data-driven methodology to identify and characterize possible cyclist movements using video data and computer vision to compare cyclist behaviour between sites with and without a discontinuity. After selecting a set of sites with a discontinuity in Montreal’s cycling network, video data was collected from a pole-mounted camera. Cyclist behaviour is analysed through trajectory learning. The various strategies adopted by cyclists when faced with discontinuities are investigated and compared to their strategies at control sites. Results show that compared to their control sites, the cyclists undertake a larger number of sometimes unexpected maneuvers at discontinuities.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Niaki, Matin S Nabavi
    • Saunier, Nicolas
    • Miranda-Moreno, Luis
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; Photos; References; Tables;
  • Pagination: 23p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01624597
  • Record Type: Publication
  • Report/Paper Numbers: 17-06043
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 30 2017 5:14PM