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Bicycle Detection System

Abstract

Project Description:  Bicycle detection has become a popular feature of high demand in cities and agencies across the United States. California has recently mandated that all new limit line detector installations as well as modifications to existing limit line detection must provide bicycle detection. This has created the need to develop detection methodologies which are able to detect bicycles as well as differentiate them from vehicles. The objective of this project is to utilize Econolite Control Products’ Autoscope Encore video detection solution to design and validate a methodology which is able to detect and differentiate bicycles from vehicles. The intersection that the cameras are being designed for are East Peltason Drive and Pereira Drive around the University of California, Irvine.    Faculty Advisor: Professor Stephen G. Ritchie; Client/Consultant: Michael Dang, Gutej Gill.  UCI Dean's Choice Award

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