30060.基于gps浮動(dòng)車的城市道路交通信息采集關(guān)鍵技術(shù)研究

1、東南大學(xué)碩士學(xué)位論文基于GPS浮動(dòng)車的城市道路交通信息采集關(guān)鍵技術(shù)研究姓名：成玉棟申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：交通運(yùn)輸工程；交通信息工程及控制指導(dǎo)教師：錢振東20110308AbstractTitle：ResearChonkeytechnologiesof饑l伍cinfomlationcollectionforurbaIlroadsbaSedonGPSnoatingcarsStudent：CHENGYudongSupervisor：Prof

2、essorQIANZhendongSchool：SoutheastUIliVersit)，Accurate，realtimedynamictra行icinfbnnationisessentialfortrafncmonitoring’tramcinfb眥ationdisseminationarldguidanceforurbanroads，andistheimportantsupportingdataforef王ectivelyreli

3、evingthetramccongestiononurt)a11roadsWimtheincreasingoftaxis，busesandprivatecarsinstallingtheGPSdevices，tramcdatacollection舶mtheGPSfloatingcarshasbeenallimportalltwayforobtainingtheurbaIlroadtra行icdataFocusingontheproble

4、msonexisting仃a行icdatacollectionsystemsfromGPSfloatingcars，tllekeytecllIlologiesOfGPSnoatingcardatapreprocessing，roadsegmemaveragespeedexnaction，andt11eoptimalsamplesizeweIestudiedbasedontheanalysisofexistingresearch，utin

5、zingtllerawdatacollectedbyBeiiingexistingGPSnoatingcarsystema11dGISdataTheGPSnoatingcardatapreprocessingmemodwasfirstlystudiedinthispaperfromt11reeaspects：(1)basedontllecharact甜SticanalysisoftherawdatafromGPSnoatingcars，

6、thedatascreemngmethodwasstlldiedbasedonthethresholdsofspatialdis伽ce，spotspeed，da|Caconectiontimeinter、，alandtheidentificationofpad(ingstatussuchthatsomeenIoneousorsuspiciousdatawereremovedforensuringthedataqualit)r；(2)fo

7、cusingontheinc印abilityoftlleGISroadsegmentationfortra|五csurveillance，themethodsforinte霉，ationandrese鯽emationoftlleroadsegments，reorganizationoftheroadtopologicalstmcture，andchaIlgingthet、vowayroadtoone—way、Ⅳerestudiedtom

8、AketheGISdigitalmapsatisfiedttleneedfortrafjficinfo咖ationextraCtion；(3)memethodforGPSnoatingcardatamapmatchingwasstudiedbasedontheconHnonusedshortestdistancealgoritllrIl，andt11ealgoritbmfordetlellmIlingve王licletrajectory

9、crossingdifI’erentsegmentswasimprovedforavoidingthemalpIacticesinexistingshortestdig咖cealgorittⅡ11suchaslowerefnciencyandlongtime—consumingSecondly，thisp印erproposedthespeedestimationmethodfromGPSnoatingcarsforurbaJlroads

10、egmentBasedonthedataofspotspeedf如mGPSnoatingcarsaIldtheGISdigitalmapmatchingresults，tllemetllodforextractingthespatialaVeragespeedforu1banroadsegmentwaspresentedMoreover，tlleproposedspatialave豫gespeedestimationmethodwase

11、valuatedusingtlle仃amc№collectedbymemicrowavevellicledetectorsforurballexpresswayalldmainarterialasreference；meanwbile，themainlinespeedestimationmethodforbothpeal(andompeal(timeperiodsw弱constnlcted謝t11goodperfonnance、Ⅳhen

12、conlpaled、析ththet1amcd￡慨byttlemicro、)l豫vevehicledetectorsforthesegments、杌tllbothmain鋤dsideroadsexistingsucht11atthemapmatchingisdi銜cultFinally，basedontheaveragespeedextracted臺(tái)omthespotspeeda11dSpatialaveragespeed，tlleopt

13、imals鋤plesize咖derdi虢renttr。amcstateforbotllurbaneXpresswaysandanerialswaLsobtainedbycalculatingtherelationshipbetweenrelativeerror，correlationcoefncientallds鋤Dlesizeusingnle缸a伍cda婦frommicrowaveve王licledetectorsasreferenc

14、eThestudyreSultsof“sp印ercaIlproVideameoreticalbaSisandengineeringapplicationValuesfort|leresearchoftramcinfoIm撕0ncollectionsyStembaSed0nGPSnoatingcaLKeywords：d蜀她screeIling，mapmatclling，iIlsta]ntaI]Ieousspeed，spatialspeed