基于超声的高速公路交通流参数获取研究

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1、南京理工大学硕士学位论文基于超声的高速公路交通流参数获取研究姓名：刘震申请学位级别：硕士专业：计算机软件与理论指导教师：杨静宇;任明武20060601顿士论文摹于超声的甍建公路交通漉参数获取研究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