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.

• Record URL:
  https://www.morgan.edu/school_of_engineering/research_centers/urban_mobility_and_equity_center/research/new_research/bicyclist_modeling.html

Language

• English

Project

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

  69A43551747123

• 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

• TRT Terms: Automatic data collection systems; Bicycle travel; Bicycles; Cyclists; Traffic flow; Training simulators
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting;

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