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ID:36395564
大小:10.49 MB
页数:85页
时间:2019-05-10
《城市交通流多源信息采集与融合方法的研究及应用》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、浙江工业大学硕士学位论文城市交通流多源信息采集与融合方法的研究及应用姓名:周敏申请学位级别:硕士专业:机械制造及其自动化指导教师:董红召;陈宁20080401浙江工业大学硕士学位论文市交通OD分析模块、典型行车路线获取模块和交通流信息融合模块。城市交通流信息诱导服务平台投入实际运行的成功,验证了本课题研究所获得的理论成果和算法的可行性和准确性。关键词:城市智能交通诱导系统,动态OD分析,典型行车路线,证据理论,多源交通信息融合Il浙江工业大学硕士学位论文RESEARCHANDAPPLICATIoNoFURBANTRAFFICDATAACQUIS
2、ITIONANDFUSIONABSTRACTTrafficGuidanceSystemisthekernelpartoftheIntelligentTransportSystem.ItsSUCCESSdepends013.whetherOrnotthemulti—sourceprobedtrafficdatacallbefusedcorrectly.Thereexistmanytrafficdatadetectingmethodsnowadays,butthedataexchangeismuchworse.Sothetrafficdataacq
3、uiredbythosemethodsaredifferent,andthesameparametermayexistdifferentdetectresults.Furthermore,therelackedappropriatemeanstoanalyzetheseresultsforobtainingtheundersurfaceinformation.Thetrafficinformationfusionmethodbased011evidencetheoryisputforwardtofigureouttheproblemsmenti
4、onedabove.Therealethreepartsinthispaper:1.AnewkindofdynamicODanalysismethodispresentedhere.ThismethodusilizestheslidingwindowtheorytOpreprocessthesnapshotdataduringthereplacementcycle.Finally,thetraveltimecallbeobtainedasexampleofthealgorithm.2.Thetypicalroutetheoryisputforw
5、ardheretOreflectthemasstravelcustomwhichisimportanttothetrafficadministrationwhilelackseffectivemethodstoacquire.Analgorithmisresearchedtoobtainthetypicalrouteamongtlrbandistricts.ItCallhauntthecandidateroutesbymeallsofheuristicalgorithmofhotspots,andthendeterminethetypicalr
6、outeresortingtothefuzzyclustering.3.Anewtrafficinformationfusionmethodisillustrated.Severalgroupsoforiginalmulti—SOUrCetrafficdataarefusedintoonegroupoftrafficdatawhichhashigherreliabilitybyevidencetheory.TheGreenshieldstheory,improvedattributereductionandfuzzyprobabilitymea
7、sureareusedtoreduceredundancyandobtainthebasicprobabilityassignmentfunction.Finally,anewformulaispresentedtofigureoutthefinalstepoffusionandtheconflictamongtheevidences.DuringtheresearchontheImportantt'rojectforKeySubjectofZhejiangIII浙江工业大学硕士学位论文Province“ResearchandApplicati
8、onoftheKeyIssuesinUrbanIntelligenceTrafficGuidanceSystem”(2006C13100),these
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