1、AbstractWiththe increasing oftraffic flow and complication，cityroad networkcongestion problem becomesmore and more serious.The existing intelligenttraffic controlisdifficulttoimprove the overallefficiencyofcitytraffic system.It isan effective wayto s
2、olve urbantraffic problemswithguidancesystem,whichcanbalancethe traffic flow initiatively,and controlsystem,whichcanrelieve traffic flow passively.How tobuild such optimizationmodel ofintelligenttransportationsystem and optimizationalgorithm becomest
3、he currentresearchfocusand keytechnology.Forexisting traffic control systemproblems,thisdissertationadoptsathe evolutionarymultiobjective optimization control system,combining witha guidancesystembased onant algorithm.Thisdissertation constructsa mul
4、tiobjective optimizationofsingle intersectioncontrol model,multiintersection coordinationmechanism and vehicle guidancesystem,which can effectivelybalance the traffic load and improve traffic efficiencymetropolitanroad network.The main work isasfollo
5、ws: 1)Forexisting traffic controlsystemcannot effectivelytakea varietyofindicatorsintoaccount,and can’t efficientlyregulate controlsignaltiming plansbased onrealtime traffic conditions,thisdissertation constructsa single intersectionmultiobjective op
6、timalcontrolmodel,whichisoptimized bythe improved evolutionarymultiobjective optimizationalgorithm.Thismodelbasesonthe number ofvehicleswhichthroughthe intersectionper unitoftime and the averagetime ofvehicles’delayeachcycle. Thismodelcould adjust th
7、eirtiming planbased on realtime roadtraffic information,and provide transportationpolicymakerstiming plan ofvariouskindsofbias.Inorder to meetthe requirementoftraffic controlsystembased onmultiobjective optimization,thisdissertation proposesa paralle
