Auto Fine Generation System for TrafficViolation Detection
1234Final Year Students, Department of ISE, Global Academy of Technology, Bangalore, Karnataka-560098,India
5Associate Professor, Department of ISE, Global Academy of Technology, Bangalore, Karnataka-560098, India ***
Abstract - With the world’s population increasing the numberof vehicles being used on an everyday basis has been increasing dramatically. Owing to this scenario, vehicular traffic is the most prudent and something that must be identifiedat theearliesttothebenefit of the generalpublicand also the traffic personnel. The seriouseventualitymayresultin traffic jams and the key to fix thesaid problem can be found in order to handle the current situation. This paper aims at incorporating a solution for traffic violation detection at the signal using Radio Frequency Identification Technology (RFID).
Key Words: RFID Reader, RFID tags, GSM, Renesis Micro-Controller.
1.INTRODUCTION
Nowadays expeditious growth in population is a norm andpeopleareinvestingmorefortheircomfort.Asaresult, thenumberofautomobilesbeingusedisalsodramatically increasingNowadaysexpeditiousgrowthinthepopulation has led to increasing in the usage of automobiles. As a consequence of the above scenario traffic and hence the trafficviolationdrasticallyincreases.
In this paper, we use modern technologies like RFID and IOT to identify the vehicles committing certain traffic violationsandpenalizetheviolator.Thesuggestedapproachis quitecoherent,andmoreefficientsinceitavoidstheambiguity ofhavingseveralmodelswithdifferentobjectives.Instead,we concentrate on a single approach for the detection of a particularviolationcommitted.
WeuseRFIDtechnologyforthesaidapproach.HereRFID readers and tags are used to detect the violation. In this system, RFID technologies are used to monitor real- time traffic information. The technology used records the informationofthosevehiclesviolatingthetrafficrulesand henceamessageissenttothemobilenumberaccompanied withtherespectivevehicle.
Aftergeneratingthedatausingthementionedmethods,it is made accessible to the general public so that they are awareofthefineincurred.Weusethistechnologyintherealtimetrafficmanagementsystem.
According to the traffic rule, vehicles are said to be stopped at the stop line near the zebra crossing when the
signal turns red, sometimes people who drive the vehicle surpassthestoplineandjumpthesignal.
Insomescenarios,peoplepurposefullystopthevehicleon the zebra crossing while the zebra crossing is meant for pedestrianstocrosstheroad,sothisincorporatesoneofthe majorviolationsofthetrafficrule.
2. LITERATURE SURVEY
[1] Authors“Mr.PranodKCharles,SrilekhaGovvala, Anjali palavayi, Rupa Bandaru, Yamini Gurram” have implemented Advanced Traffic Violation PenaltySystem UsingIoTandImageProcessingTechniques.Inthispaper, Strassen’s and Winograd’s convolution algorithm for raspberry pi is used. The project deals with providing instantaneous penalty messages to violator about their violation. The camera is used to identify the violatorsand licenseplaterecognition.Furtheritcanbeenhancedusing somenewtechnologieslikeimageprocessingtechniques.
[2] Author“Mr.ArunYadav”haveimplementedRFID future of red light violation detection system. This paper discussesthevariousimplementationsofexistingdetection systems and proposes the radio frequency identificationbasedsolutiontoovercomesomelimitationsandimprovethe accuracyofRIVDS.Thissystempossessseriousthreatstothe datasecuritymeasures.Implementationofsecureprocesses suchascertificatesforauthenticationsshouldbeused.
[3] Authors“SalamA.WAl-Abassi,MohammadSharba, and Karrar Al Bayati” have implemented Smart Prepaid TrafficFines SystemUsing RFID,IOTandmobileapp. This system uses Arduino UNO micro controller which in-turn helpsthemicrocontrollertogetactivatedandcommunicate withthemainprocessingunit.Thedataisfetchedbythehelp ofRFIDwhichreadsthetagthatisattachedtothevehicles. Data is then transferred to the server and processed accordingtothepre-definedtrafficrules.
[4] Authors “Mr. B. Malakonda Reddy, Ch. Sravya, A.Sahithi, K.Indu,N. Sai Kumar” have implemented AUTOMATICPENALTYASSORTMENTSYSTEMFORTRAFFIC LIGHTVIOLATION.Thepurposeoftheprojectistoproperly tracktrafficsignalviolationwiththehelpofcamerasusing RFID tag and infrared sensors. Thisdocument shows the entire traffic light handling system using the latest technologies.Thesystemworkswithredlight.
[5] Authors “Vijayaraman P, P Jesu Jayarin” have implemented Intelligent Traffic Management using RFID Technology.Inthispaperasmartmethodisimplementedto overcomethetrafficjamandrelatedproblems.Thissystem providesapropersolutionforthementionedproblemsand further the system is divided into several modules which provide a clear solution and benefits of the method proposed.Thesystemconcentratesonseveraladvantages andcanbeenhancedusingnewtechnologies.
[6] Authors “Suyash Bharambe, Omkar Dixit, Sushant Wavhal,SapnaGolhar”haveimplementedAutomatedPenalty CollectionforTrafficSignalViolationusingRFID.Themethod usedinthissystemthatistheRFIDtagswhichareplacedon thevehicles,whichaidsinpropertrafficmanagement,which in-turnreducesthetrafficrelatedissues.Thedrawbacksof this system include the high expenses in adopting this system, it also requires an advanced image processing techniquewithadequatesoftwarebackground.
[7] Authors “T. Ramaswamy, T. Charandeep, CH. Sai Santhosh, M. Rohith Goud” have implemented Signal ViolationVehicleDetectorusingIOT.Theproposedmethod detects the traffic congestion and vehicles that violate the trafficrule.Smartcarparkingallowanceandautomatictoll collectionisdone.Trafficmanagementanddatacollectionis done using several sensors like IR sensors, wireless networks,RFIDandothertechniques.Theproposedideais not fully automated there is some human interaction is neededinthisprojectsotoovercomethisproblemsomenew technologieslikeartificialintelligencecanbeusedtoenhance thissystem.
[8] Authors “Dr Geetha S, Sathish Kumar S, Pradeep R, PradeepS”haveimplementedSmartTrafficControlSystem usingRFID.ThispaperprovidesmanagementofTrafficwith the help of RFID tag and RFID reader which are placed at trafficjunctions.Italsohelpsinmanaging thetrafficlightsin accordance tothetrafficcongestionontheroad.Thissystem canbeenhancedbytestinginvariousconditions.
[9] Authors “Ranjith A, Revathi A, Dr. S. Lakshmi, Porchelvan M, Ponmuthuram R, Vinoth Kumar T” have implemented Red Signal Violations and Development of Prototype for Automated Enforcement System. This paper explainsabouthowtocontroltrafficusingRFIDtechnology andimageprocessing.Alsothissystemconcentratesonthe vehiclesjumpingredsignalviolationcommitted.
Furtherfortheenhancementofthissystemcanbedone by introducing this system with lab-based experiments to understand in a better way. Most of this system lags in various conditions like identifying the particular vehicle whenthereistrafficcongestion.Soenhancementisneeded forthissystemwhichhelpsinusingthissysteminanefficient way.
[10] Authors “Angel Deborah Suseelan, S Milton Rajendram,RajalakshmiSivanaiah”haveimplementedRFIDBased Traffic ViolationDetectionandTraffic flowAnalysis System.Thispaperwepresentsanintelligenttrafficviolation detection and traffic flow analysis system (TVDTFA) to monitorandmeasureredlightjumping.Thissystemisbased uponRadioFrequencyIdentification(RFID)technologyfor identification of vehicles on the road. Traffic violation detectionalgorithmisbasedupontheinformationretrieved fromvehicleandtypeofsignalfromtrafficlight.Inrealtime environment, if the average road lane is 3.5m, then approximatelytwo125Hzreadersarerequiredforoneroad lane. Many vehicles may be moving nearby and possibly blockingorattenuatingsomeoftheRFIDsignals,especially withlargevehiclesliketrucks.Apossiblesolutionistheuse ofRFIDreadersofhigherfrequencyrangesincetheirreading rangeishigh.
Adoptingthissystemresultsinbenefitsandadvantages over other technologies being used. Thissystem helps the generalpeopleinbelievingthepurposeservedbythissystem andalsomakesthesocietymodernized.
3. METHODOLOGY
An effective and coherent solution is given in the proposedsystem.Adisciplinedformoftrafficmanagementcan beimplemented.RFIDTechnologyisused.Itconcentrateson activatingtheRFIDsensorsbasedontrafficsignals.Handling anddetectingtrafficviolationsmanuallyisquitecumbersome especially while considering the density of traffic. Furthermore, it requires a lot of work which is timeconsuming.Soalotofautomatedsystemsarebeingusedinthe recentpast.
Thetrafficviolationweareconcentratinginthesystemis theignoranceoftheredlightbythevehicleswhenthered lightisimplemented.Thevehiclesaresupposedtostopwhen
thereisaredsignal,butcertainvehiclesjumpthesignalso suchanoffenceispenalizedinourproposedsystem.
Let us consider the white strip of line before the zebra crossingasthe“stopline”.TheRFIDreadersareplacedon thisstopline.RFIDassettrackingisawayofautomatingthe managementandlocatingtheprocessofphysicalassets.It worksbyloadinganRFIDtagwithdataandattachingittoa relevant asset. This data can include anything from name, condition,amountandlocation.
ThroughRFIDtagsrepeatedlypulsatingradiowaves,an RFID reader is able to capture stored data. Eventually collectingitinasophisticatedassettrackingsystemwherethe datacanbemonitored.Thiswillhelptoautomatetheentire trackingsystembyreducingerror-pronemethodsofpenand paper.
When the offense has been committed the bill for the respective will be generated, a message will be sentto the mobilenumberaccompaniedwiththatparticularvehicle.
4. DISCUSSION
Anincreaseintrafficisoneofthemajorconcernsinsociety. Especially in a country like India with an ever-increasing population.Peopleareinvestingmoreintheircomfort,thus manyautomobileshavecomeintothepicture.Naturally,the numberofvehiclesisalsoincreasing,thusleadingtotraffic congestionandseveralformsofthetrafficviolation.Traffic violation leads to major accidents and causes an serious injure to the public on the roads so to overcome these situations some of the ideas and technical methods were proposedwhichhelpinovercomingthissituationtheother wayroundbutsomeoftheseideashavemajorproblemsand drawbackswhichcanovercomethedrawbacks.Recentlyin the state of Karnataka, India traffic authorities have implementedandbroughtintoactionahugeprojectwhich handlestrafficandmonitorsroadincidentsandalsotraffic violations. This system which has been proposed by the Karnatakastategovernmenthasbeenimplementedinmajor trafficorcongestedareaswheremanpoweralonecannotbe sufficient,sotohandle this sortofsituation thisproject is implementedwhereallthelivetrafficisrecordedthrough thehighdefinitioncamerasinstalledatthemajorhotspots
like the major signals, crossings, and the diversion roads. Thesystemisbuiltordevelopedinsuchawaythatitautodetectsthetypeofviolationbeingdoneandisrecordedand fedintothedatabase.Thesystemsistrainedinsuchaway that whenever a traffic violation is detected by the highdefinition cameras they capture that particular video clip andsendthosevideoclipsatsomerateoftimewhichisfed intothedatabase.Whenthesevideoclipsaresuppliedtothe system it identifies the type of violation committed and penalizesthevehicle.Thissysteminrealityhashelpedthe trafficauthoritytohandletheworkinabetterwaybutthis systemagainhasmajordrawbackswhichinternmakesthe general publicagainst thesystem. The majordrawback of thissystemisthememorypartwhichisthestoragecapacity ofthedatasetsofeveryvehicleontime,becausethissystem storesthevideoclipsinthedatabasevideoprocessingisa hecticproblemwhereitconsumesmuchofthestorageinthe database. As the cameras are of high definition then the videoqualitywouldbemegabytestogetherifthequalityof thecamerastoovercomeasuchproblemisreducedthenthe video or the clarity of the image and the vehicle number plateoranyothertagswillnotbeclearandthiswillbecome aproblemtothesystemitselftorecognizethevehicleand penalize the vehicle which is, in turn, a great loss for the governmentitselfbecausetobuildsuchprojecthugeamount has been spent which will not be profitable anymore. So another drawback of this system is the processing of the videoclips,letusconsiderascenariowhereavehiclespeed isfasterthanthecapturingrateofthecameraifthevehicleis fast enough even though when a video has captured the visibility of the required data will be less so it is also a serious concern. Another drawback of this system is the angleortheinclinationofthecamerasandtheplacementof thesecamerasinperfectpointsbecausetosomeextentthe camerascancaptureinsomemajorinclinedanglebeyond thelimitthatitcannotcapturewhichwillleadtotheescape of vehicle even though a system is implemented. Another majorconcernofthissystemisthedetectionoftrafficrule violationsnearthezebracrossing.Letusconsiderascenario whereavehiclecrossesthestoplinewhichisatthesignal and is stopped on the zebra crossing itself, here zebra crossingismeantforthepedestrianstocrosstheroadand the stop line near the traffic signals is an indication or a cautiongiventothedriverorriderofthevehiclenottocross ormovebeyondthatlinewhenthesignalturnstoread.So peopleareviolatingthisruleasifsomeofthedailytravelers donotevenknowthatthestoplineservessomepurposeat the signals and some even though knowing the rule will commitsuchsortofoffenseandbecomeadisturbancefor thepedestriansontheroadsthishastobeovercomewhere the existing system is not able to capture the clips at the signalduetotheimproperplacementsofcamerasandthein the angle where the cameras are inclined. This are the methodswhichareproposedandarebeingusedintherealtime which are not supportive in some of the scenarios discussed.
5. CONCLUSION
Inthispaper,wehavecomeupwithansystematic approach that will automatically penalizes for violation of traffic rule, which will lead to an organized traffic management.Thishelpsinreducingmanyproblemsrelated totrafficandalsocontributestoefficientlydecreasenumber ofmajoraccidents.
ACKNOWLEDGEMENT
WewouldliketothankourHODDr.KiranYC,and Guide Dr.Manjunath S, Dept. of Information Science and Engineering, Global Academy of technology, Bangalore for theirguidanceandsupport.
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