基于城市交通流量組合預測模型的模糊控制系統(tǒng)研究.pdf

1、中南大學碩士學位論文基于城市交通流量組合預測模型的模糊控制系統(tǒng)研究姓名：彭昊申請學位級別：碩士專業(yè)：機械電子工程指導教師：姚亞夫20090608中南大學碩士學位論文AbstractAbstractTheincreasingnumberoftrafficfluxinrecentyearsactuallyposesagreatchallengeThus，itismeaningfultoimprovethetrafficefficiencyi

2、ntheintersectionsinorderthattrafficjamcanbelessenedSincethetraditionalmethodwithfixedsignalfortimedistributioncannotmeettherequirementofthefrequentlychangingsituation，anintelligenttrafficsignalcontrolisneededtoguaranteet

3、hefavorablepassageofvehiclesinasingleintersectionMainworksincludedinthisdissertationaredescribedasfollows1NNCA—RBFforecastingmodelisdesignedStudyonthecombinedforecastingtheoryAimatdemeritofthegeneralcombinedforecastingmo

4、del，ashort—termtrafficflowcombinedforecastingmodelbasedonradialbasisfunction(RBF)neuralnetworkisdesignedThesimulationresultsshowthatitworkswellinthepredictionoftrafficflow2Twostagesfuzzycontrolisdesignedwhichisbasedonsho

5、rt—termtrafficflowpredictionmodelItincludesthreemodules：redlightlossmodule，greenlightincomemodule，phasetimechangingmoduleItdecidesthegreenlighttimeaccordingtotheshort—termtrfficflowpredictionandthedurationofthephases3The

6、singleintersectiontrafficcontrolpanelcircuithasbeenstructuredwhichadoptedAT89S51asthecoreThedesignofhardwareiSaccomplishedandcomeintoasampleAndthetwostagesfuzzycontrolsoftwaredesignisrealized4Taketra佑CflowoftheChangshaci

7、tyasexperimentaldataSimulatesometrafficinstancesinthecontrolpanelcircuitSOastoexperimentizeThefuzzycontrolcaneffectivelyenhancetheutilizationratioofphasetimeandenhantetheutilizationratioofintersectiontrafficKEYWORDS：traf