Safe Cyclist

Last year there were more than 52,000 people seriously injured in the United States due to bicycle accidents. Bicycle transportation represents a healthy and clean mechanism to improve both transportation efficiency and parking in urban areas. Traditional bicycles are now even being augmented with electric drive systems to decrease the barrier of adoption for commuters. Unfortunately, as bicycles become more capable and hybrid and electric vehicle usage increases the ability for cyclists to perceive traffic danger is decreasing. This project explores how vehicle-to-vehicle dedicated short range communication (DSRC), differential positioning technologies and sensor-based trajectory estimation techniques can be used to warn drivers about potential collisions with cyclists. This requires developing rider models that can help anticipate the complex motion patterns of a cyclist or pedestrian as compared to that of a vehicle. The algorithms developed as part of this project can help augment future DSRC warning systems that will be deployed in both cars as well as smartphones carried by cyclists. The project work up to this point has indicated that poor global positioning system (GPS) performance in urban spaces will drastically hinder the performance of collision warning systems especially for less predictable targets like cyclists and pedestrians. In the next phase of this project, the project intends to look more closely at alternative localization techniques based on emerging time-of-flight ranging technologies and city building geometry data to help augment GPS systems.

Language

  • English

Project

  • Status: Active
  • Funding: $85000
  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Technologies for Safe and Efficient Transportation University Transportation Center

    Carnegie Mellon University
    Pittsburgh, PA  United States  15213
  • Project Managers:

    Ehrlichman, Courtney

  • Performing Organizations:

    Carnegie Mellon University

    Pittsburgh, PA  United States 
  • Principal Investigators:

    Rowe, Anthony

  • Start Date: 20160101
  • Expected Completion Date: 20170131
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01586689
  • Record Type: Research project
  • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
  • Files: UTC, RiP
  • Created Date: Jan 8 2016 3:29PM