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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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Timeline
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Strategic Description / RD&T

    
Deployment Plan

    
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Expected Outputs

    

    
TRID

    


    
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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