Bicyclist Longitudinal Motion Modeling

Cycling is being increasingly advocated as a sustainable mode of transportation due to its significant positive impacts on congestion and the environment. However, despite the growing popularity of bicycles for short-distance commuting, researchers have generally ignored the investigation of its traffic flow dynamics. This research effort proposes to model bicyclist longitudinal motion while accounting for bicycle interactions using vehicular traffic flow techniques. To achieve that objective, the study will use two naturalistic cycling datasets obtained from ring-road experiments, and will recruit participants to operate a bike-simulator in order to test the proposed model under realistic traffic conditions.


  • English


  • Status: Completed
  • Funding: $180385
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Urban Mobility & Equity Center

    Morgan State University
    Baltimore, MD  United States  21251
  • Performing Organizations:

    Virginia Polytechnic Institute and State University, Blacksburg

    Virginia Tech Transportation Institute
    3500 Transportation Research Plaza
    Blacksburg, VA  United States  24061

    Morgan State University

    1700 E. Cold Spring Lane
    Baltimore, MD 21251, Maryland  United States  21251
  • Principal Investigators:

    Rakha, Hesham

    Jeihani, Mansoureh

  • Start Date: 20210101
  • Expected Completion Date: 20211231
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01744594
  • Record Type: Research project
  • Source Agency: Urban Mobility & Equity Center
  • Contract Numbers: 69A43551747123
  • Files: UTC, RIP
  • Created Date: Jul 1 2020 9:22AM