基于均衡流量的城市公交网络系统优化模型与算法

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1、北京交通大学硕士学位论义中义摘要结合的新算法，有效地避免了遗传算法在求解过程中的缺点，改进的混合遗传算法具有更好的收敛性和求解效率。关键词：城市公交；客流分配；发车频率；线网优化；遗传算法分类号：U491ABSTRACTABSTRACT：Withtheprocessofurbanizationaccelerating，thelevelofurbanizationrisingandtheurbanpopulationincreasing，urbantraveldemandsubstantiallyincreases·Atthesametime，therapiddevelopmentofthe

2、carontheonehandbringstheconvenienttravel。ontheotherhand，asharpriseinthenumberalsogreatlyincreasesthepressureontheexistingroadnetwork．Theplanningandconstructionoftheexistingroadnetworkisfailedtomeetthepaceofeconomicdevelopment，whichbringsabouturbantrafficissue．Urbantrafficcongestionhasbecomeastumbl

3、ingblocktothecities’development，whichmustbeaddressednow．Urbantransitsystemhasfeaturesofhugecapacity．convenienceandSOon．Vigorouslydevelopingurbantransithasbecomethefirstchoicetosolvetheurbantrafficissue．Aroundtheproblemsoftheoptimalresearchworkofthispaperisasfollows：designoftheurbantransitnetwork，t

4、heFirstly,urbantransitpassengerdemandisanimportantbasisfortheconstructionofurbantransitsystem．Thereasonableforecastingandsimulationofthepassengers’distributioninthetransitnetworkhelpslaythepassengerdatabaseofthetransitsystemoDtimizationdesign．Becauseurbantransitpassengerflowisdiverse，varied，comple

5、x，buildingpassengers’assignmentmodelreasonablyaffectstheeffectofthesimulationofthepassengerdistributioninthenetworkdirectly．Basedonthis，thisarticlepresentedastochasticuserequilibriummodelfortheurbantransitassignmentproblemconsideringtheaffectionofthetransferfactor,withthetransfercostsandtransferti

6、mesconsidered．Thestochasticuserequilibriummodelsimulatedpassengers’travelroutechoicebehaviorandpassengers’distributioninthenetworkbetter．Secondly,thedeparturefrequencyoptimizationisoneofthemostimportantworkintheurbantransitnetworkoptimizationdesign，whichnotonlyaffectstheefficiencyofurbantransitser

7、vices，butalsodirectlyrelatedtotheeffectivenessofthebusoperatingcompanies．Basedontheinterestsofbothpassengersandbuscompanies，thispaperestablishedthebi．．1eveloptimizationmodelofurbantransitsystemdeparturefrequency．