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Project

#120 Safe Cyclist


Principal Investigator
Anthony Rowe
Status
Completed
Start Date
Jan. 1, 2015
End Date
Dec. 31, 2015
Project Type
Research Advanced
Grant Program
MAP-21 TSET - Tier 1 (2012 - 2016)
Grant Cycle
2015 TSET UTC
Visibility
Public

Abstract

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. In this project, we explore how DSRC communication, 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.    
Description
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Strategic Description / RD&T

    
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Individuals Involved

Email Name Affiliation Role Position
agr@ece.cmu.edu Rowe, Anthony ECE PI Faculty - Research/Systems

Budget

Amount of UTC Funds Awarded
$80443.35
Total Project Budget (from all funding sources)
$80958.00

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