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1、南京理工大學碩士學位論文基于超聲的高速公路交通流參數(shù)獲取研究姓名：劉震申請學位級別：碩士專業(yè)：計算機軟件與理論指導教師：楊靜宇;任明武20060601頓士論文摹于超聲的甍建公路交通漉參數(shù)獲取研究AbstractAsthetra街cissuestandsoutasaglobalproblem,IntelligentTransportationSystem(ITS)becomesaheatedtopicincurrentstudies．ITShasawideextension,andincludesa
2、lotofsubsystems．Thispaperisfocusedonthefieldofthetr'al五cparametersacquirementwhichliesontheboRomoftheITS．Aftercomparingandanalyzanglotsofconventionaltrafficdeteetngschemes，thispaperdesignsadetectingschemebasedonultrasonic．ThisSchemeisbasedonthedistanc
3、edamobtainedbyultrasonictelemeter．Thispaperdoesalotofworksontheresearchoftheacquirementoftrafficparameters，andhasrealizedaseriesofalgorithms，whichincludeakindofvehiclesegmentalgorithmwhichisinsensitivetOthenoise，akindofwavematchingalgorithmbasedonthet
4、imesequenceandthealgorithmstOcomputethevehicleheight，vehiclelength，vehiclespeed,traffic10adanddensity．Accordingtothefeaturesoftheultrasonicwaves．thevehiclesegmentalgorithmprogrammedinthispapercallextractthevehiclewavesexactlyunderthedisturbanceofthesy
5、stemnoise，andthewavematchingalgorithmprogrammedinthispaperisrobustagainstthesystemnoisewhichcomesfromthevehiclesegmentalgorithm．Whenmatchingerroroccurs，theerrorwillnotbeaccumulatedtOinfluencethematchingprocessofthenextvehicle．Inaddition，thisPaperempha
6、sizestheresearchofvehicletypeclassification,andpresentsauniversalvehicletypeclassificationscheme,andintroducesBayesdecision—makingtheoryandFourierdescriptormodelintotheclassificationalgorithm．Theclassificationalgorithmimplementedinthispaperisamulti—le
7、velclassificationalgorithm,whichUSeSBayesdecision-makingtheorytoclassifythevehicleintosomemainclasses砒丘rsLthenUSeSFourierdescriptormodeltosortindeeperlevel．ThispaperusesParzen-windowmethodtoacquiretheconditionprobabilitydensity,anddoesparticularreSear
8、chontherelationshipofthesamplingnumberandthedescribingabilityofFourierdescriptor．ThetrafficparametersacquirementprototypesystemhasalreadyimplementedonPC，andachievesidealresultinexperiment。KeyWords：IntelligentTransportationSystem，Ultrasonic，Wav
