The ultimate goal of this project will be to develop an intelligent blind-zone alert and detection system that allow cyclists to more safely integrate with automobile road traffic. We plan to prototype this system by instrumenting a set of commuter bicycles with sensors, DSRC communication radios and indicators embedded in the bicycle handlebars and in the rider’s helmet. Sensors like those used in adaptive cruise control (ultrasound, radar, microwave) will localize and predict dangerous trajectories from nearby vehicles. The V2V communication sub-system, in conjunction with GPS, can be used to allow the bicycle to coordinate with existing V2V enabled vehicles to act as a long-range alert mechanism. We ultimately envision a system where automobiles and bicycles exchange their position and direction data such that both parties are alerted of potentially hazardous proximities. By sharing GPS route information, the system can even alert cyclists of vehicles that might make sudden turns at intersections without signaling. These types of accidents account for almost one third of cycling injuries. Using vehicle-to-infrastructure communication, cyclists can also be alerted if they are about to run through a red light or are going the wrong way down a one-way street.
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Name | Affiliation | Role | Position | |
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agr@ece.cmu.edu | Rowe, Anthony | ECE | PI | Faculty - Research/Systems |
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