基于多源信息融合的駕駛員跟車(chē)行為研究.pdf

1、山東理工大學(xué)碩士學(xué)位論文基于多源信息融合的駕駛員跟車(chē)行為研究姓名：王雷申請(qǐng)學(xué)位級(jí)別：碩士專(zhuān)業(yè)：交通運(yùn)輸規(guī)劃與管理指導(dǎo)教師：王曉原20061226山東理T大學(xué)碩十學(xué)位論文AbstractAbstractThedrivingbehaviormodelcanbeusedtecuractualdynamicbehavioroftrafficflowunderallkindsofroadsandtransportationconditionItc

2、anreflectrandomcharacteristicofrunningvehicleandindividualpreferenceofthedifferentdrivergroupsinthecarfollowingandlanechangingprocessSo，researchofdrivingbehaviorhasbecomethetheoreticalbasisandpivotaltaeheabouttransportat

3、ionsystemsimulationresearchand∞importantmeanstoexploitandstudyontrafficfieldespeciallyforITSwhichhasbeenwidelycarriedonThecharacteristicofthemulti—informationstimulation，thetaskconcentrationofthedriverandthecooperativere

4、actionbehaviorhavenotbeenconsideredsyntheticallyinthetraditionaldrivingbehaviormodelwhichwasmostlycenteredonearfollowingmodelInpresentsituationofdomesticresearchfield，multi—informationfusionhasalreadybeenwidelystudiedand

5、appliedinelectronicandmilitarydomain，andhavebeenusedintrafficincidentdetectionandtrafficflowforecastingof仃afficengineeringdomainHoweverithasnotbeenmadethebestofinstudyingdrivingbehaviorinthispaperthedrivingbehavioronthes

6、inglelaneiscarriedouttostudyatlargefromtheorylayThepsychophysicalintegratedcognitivetopologicalstructureofdrivingtaskcentralizationonderthemultireseurceinformationstimulationisdesignedThemulti—informationfusionalgorithmb

7、asedonfbz糾inte伊altheoryandBayestheoryisbuiltAtthe5arnetime，thefuzzyintegralfusionalgorithmisusedtoanalyzeandgettherunningpatternofthevehicleinthecomplexrunningenvironmentThecarfollowingmodelbasedonsynchronizingmovementbe

8、tweentwovehiclesispresentedandtheearfollowingmodeliscombinedwiththemulti—informationfusionalgorithmtoconfirmthedrivingbehaviorAtlastthenonparametricmethodisusedtodemarcateandvalidatethemodelandalgorithmsthroughconcreteda