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RFID Future of Red-Light Violation Detection System: An Analysis on What Does It Look Like and What are the Public Perceptions
Journal article   Open access   Peer reviewed

RFID Future of Red-Light Violation Detection System: An Analysis on What Does It Look Like and What are the Public Perceptions

Arun Yadav
International Journal of Scientific Research and Engineering Development, Vol.2(6), pp.129-143
2019
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http://www.ijsred.com/volume2/issue6/IJSRED-V2I6P17.pdfView
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Abstract

Urban and Regional Planning intelligent traffic control systems radio frequency identification red-light violation detection systems online survey red-light cameras
Automatic traffic light detection plays an important role in the efficient functioning of theintelligent transportation system (ITS). A variety of detection methods have beenimplemented around the world with the objective toincrease the accuracy of red-light violation detection systems (RLVDS). Under the traditional method, a traffic police officer identifies red-lightviolators and apprehend them on the spot. Not only this is an expensive method of enforcement, but it may breed corruption including other drawbacks. So, to overcome these limitations many countries have shifted tothe modern enforcement method, underwhich atraffic light camera was used to detect red-light violators by capturing the number plate of the offending vehicle. However,ithas its ownlimitations, includingthe capture of a blurry image of poor resolution, obscuring of numbers and/or letters during hours of darkness and more. Therefore, many red-light transgressions remain undetected, and un-punished.This paper discusses the various limitations of the existing detection systems and proposes a Radio frequency identification (RFID) based solution to overcome theselimitationsand improve the accuracy of RLVDS.In doing so, various red-light enforcement methods have been studied, and the need for an RFID based RLVDS have been discussed.Furthermore, to understand the public perception, data from the questionnaire survey based on a random sample of 1000 respondents including a wide range of their characteristics from India were analyzed using an econometric technique. Findings from this research provide several important implications that could support the current practices of RLVDS.

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