Using Unmanned Aerial Vehicle to Investigate the Kinematic Features of Cyclist–Pedestrian Mixed Flow on Shared Paths

The aim of this study is to investigate the kinematic characteristics of the interactions between pedestrians and cyclists in un-segregated shared footways and to model the behavior of bicycles. The bicycle traffic may be accommodated in the carriageways or in the footways. For the safety of cyclists, it is sensible to arrange them away from motorized traffic. The shared use routes for pedestrians and cyclists could be the solution. To understand their interactions is an important issue for the design of shared use routes. The data for conducting this study were collected using aerial videography on a pedestrian-cyclist shared path at the Hamasen Railway Cultural Park in Kaohsiung City, Taiwan, where a plenty of interactions between pedestrians and bicycles can be observed. The trajectories of traffic movements in the video footage were extracted using a semi-automatic trajectory extractor. By using the dataset, the speed, acceleration and deceleration of the users, as well as the interaction between cyclists and other user types were analyzed. The technique of nested logit modeling was employed to describe the movements of bicycles on the shared path. The data analyses present the kinematic features of cyclist-pedestrian interactions, which also demonstrate that aerial videography is useful and powerful tool for collecting high quality trajectory data. The nested logit model was established successfully, showing a good fit to the data. The outcomes of this study provide comprehensive information about cyclist-pedestrian shared path for traffic engineers and shared path designers.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ABJ35 Standing Committee on Highway Traffic Monitoring.
  • Authors:
    • Lee, Tzu-Chang
    • Chen, Po-Jui
    • Wong, Ka Io
  • Conference:
  • Date: 2018

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 15p

Subject/Index Terms

Filing Info

  • Accession Number: 01657517
  • Record Type: Publication
  • Report/Paper Numbers: 18-04759
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 24 2018 9:25AM