基于长间隔大规模数据的地图匹配技术研究

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1、北京交通大学硕士学位论文基于长间隔大规模数据的地图匹配技术研究姓名：刘彦廷申请学位级别：硕士专业：交通信息工程及控制指导教师：吴建平20061201北京交通大学硕士学位论文ABSll己ACTABSTRACTThedevelopmentofIntelligentTransportationSystem(ITS)hasbeenoneofthemostimportant黜ainthefieldofIransportation．Floatingvehicletechnologyhasbeenwidelyappliedfor蛐cdatacollection

2、inITS．Itadoptsmanyadvancedtechnologies,suchaslocating，communication,datastoratge，GeographicalInformationSystem(GIS)andSOOn．．VehiclelocationisOneofthemostimportanttypeofinformationinITS，andMap-Matelaingistheprimarywayforobtainingaccuratelocationinformation．Firstofa11．thispaper

3、introducesthe纳瑚呤andkeytechnologiesoffloatingcal"systembasedonGPS／GIS，l始sieconceptandtheoryofMap-Matching．Underthecountrytenth-fiveyearsdevelopmentITSplan"I-IangzhouITS删csystemdemonstrationproject"，thispaperanalysesthespecialnangzlaoutra伍csituationandputsforwardaIleweompositiv

4、ealgorithmcomparingtheexistingMap-Matchingalgorithms，andatlastanalysesthenewalgorithmfromprecisionandreal-timeaspects．Concerningthelargedata,requirementofreal-timeandlongintervalofGPSdatainfloatingcarsystem,theauthorinvestigatesthededicatedMap-Matchingalgorithms．Thispaperintr

5、oducesthemethodofcombiningweight-basedandmaptopologypointt0CUI'VeMap-Matchingalgorithmsthatfitstherequirementsoffloatingcal'system．ThenewMap-Matchingalgorithmscangainnotonlytheabilityofreal-timematchinginsimpleroadsituationsbutalsotheaccuracyofresultscomplicatedsituationsresp

6、ectively．BecauseofthelongintervalofGPSdata,it'sdifficulttoconfirmthereare110defaultpathsinthematchedpaths，theMap-Matchingalgorithmscontainashortestpathalgorithmtoprocessthissituationandgetanintegratedvehiclepath．ThesottwareisdesignedtotallybasedonObjectOrientedArchitecture，wh

7、ichaSSUl'eflthissystem’srobustnessand,meanwhile,lessexpenseofmaintenance．Theauthoralso11111ke$theanalysisandevaluationabouttheperformanceofkeyalgorithmsused．TheevaluationworkisconductedwithurbannetworkinBeijiag．Thispaperalsodemonslratesthefeasibilityandlogicalrationalityofthe

8、designofMap-MatchingalgorithmsbycomparingitwithotherpointtoCUI'VCmet