International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

Impact Factor* - 6.2311


**Need Help in Content editing, Data Analysis.

Research Gateway

Adv For Editing Content

   No of Download : 206    Submit Your Rating     Cite This   Download        Certificate

REAL TIME TRAFFIC CONTROL SYSTEM

    4 Author(s):  NIKHIL KUMAR DUBEY ,SHIVAM THETE,SWAPNIL YASHOD,PROF. PUNEET PATEL

Vol -  10, Issue- 3 ,         Page(s) : 114 - 117  (2019 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

As the problem of urban traffic congestion spreads,there is a pressing need for theintroductionofadvancedtechnologyandequipmenttoimprovethe trafficcontrolsystems.Trafficproblemsnowadaysareincreasingbecauseof the growing number of vehicles and the limited resources provided bycurrent infrastructures. Thesimplestwayforcontrollingatrafficlightusestimerforeachphase. Another way is to use electronic sensors in order to detect vehicles, and produce signal that cycles. We propose a system for controlling the traffic light by imageprocessing. Thesystemwilldetectvehiclesthroughimagesinsteadofusingelectronic sensors embedded in the pavement, A camera is to be used alongside the trafficlightwhichwillcaptureimagesequences,Settingimageofanempty road as reference image, the captured images are sequentially matched using image matching,For this purpose edge detection has been carried out using Prewitt edge detection operator and according to percentage of matching traffic light durations can be Controlled.

M. Fathyand M. Y. Siyal, ”An image detection technique based on orphologicaledgedetectionandbackgrounddifferencingforreal-time traffic analysis,” Pattern Recognition Letters, vol. 16, pp. 1321-1330, Dec1995
DavidBeymer,PhilipMcLachlan,BennCoifman,andJitendraMalik, A  Real Time computervisionsystemformeasuringtrafficparameters,IEEE Conf. on Computer Vision and PatternRecognition,(1997)..
B.Coifman,D.Beymer,P. McLauchlan,andJ.Malik,areal-time
computervisionsystemforvehicletrackingandtrafficsurveillance,ˆaTransportation Research Part C, vol. 6, pp. 271-288,1998.
R.Cucchiara,C. Grana,M.Piccardi,A.Prati, andS.Sirotti,ˆaImprovingshadow suppression in moving object detection with HSV color infor- mation,inProc.IEEEInt.Conf.Intell.Transport.Syst. Aug. 2001, pp. 334-339.

*Contents are provided by Authors of articles. Please contact us if you having any query.






Bank Details