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Project

#134 Safe Cyclist

Principal Investigator
Anthony Rowe
Status
Completed
Start Date
Jan. 1, 2016
End Date
Jan. 1, 2017
Project Type
Research Advanced
Grant Program
MAP-21 TSET National (2013 - 2018)
Grant Cycle
2016 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 vehicle-to-vehicle (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. Our work up to this point has indicated that poor 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, we intend 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.
Description
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Timeline
January 2016 - January 2017
Strategic Description / RD&T

    
Deployment Plan

    
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Expected Outcomes/Impacts

    
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Expected Outputs

    

    
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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
 $85000.00
    
Total Project Budget (from all funding sources)
 $85000.00

    
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