Safe Cyclist

Source Organization:
University:Carnegie Mellon University
Principal Investigator:Anthony Rowe
PI Contact
Project Manager:Courtney Ehrlichman
Funding Source(s) and Amounts Provided (by each agency or organization):$85,000
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Start and End Dates:January 2016 - January 2017
Project Status:Active
Subject Categories:In-Vehicle Technologies, Connected Vehicle Technologies, Infrastructure-based Technologies
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.
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