Nested Logit模型参数标定方法的改进研究

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2、UniversityMasterDegreeThesisESTIMATETHESTRUCTUREOFNESTEDLOGITMODELAUTOMATICALLYGrade:2015Candidate:WangLishaAcademicDegreeAppliedfor:MasterofEngineeringSpeciality:TransportationPlanningandManagementSupervisor:TaoSiyuApril,2018)68Vt5swoV8T
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5、М=ʙAɣȵћἠ`͆ěŹʟKтΥʑĴěщтΥʑĴÄЛЪϽKNLʑĴhôNLʑĴòȳvΥ˼ĸɣʚѡįʙĸ̎-AįR:Ź˧ɛēø□̯ʯϸΔȪϸALyͨŃͫÕɼŬʑĴ:˼òȳA϶ů˧K˟ǚûМ˼ͫÕ̬ЃÑͨəĎh2007Ƥȿɣ5XЖ23ß˼rЈξɹȳȗ=AƲ̣į5XЖCBDßĶʵÕ˼¸Δ͜˼NЬʵÕʑĴAÅ˯ɣȵȢ¸˼̯ʯŹʑĴòȳϸΔvΥA̐Ŭ©Ƒ□͈ɰįɣʅ:Aʞʓϳ̯ɃШLϗϱ5ºРƓąA2ǰɛ͌ΥМıįɛȭͼĨ¬Aϸͤ͝ŬKζ̯ʯ˼Ѣȭǚɣȵ˼̡̍ǩɳ=ȟÕщтΥʑĴįů一ˮVϱ̠:˼ϳ˯¸K)ŬψˣCNestedLogitʑĴD̯ʯȪϸDщтΥ

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AbstractTrafficdemandforecastingisthecornerstoneofalltrafficplanningandtrafficmanagementwork,anditalsoplaysanimportantrolewhenanalyzingtransportationsystem.Asthemostclassicaltrafficdemandforecastingmethod,the"fourstagemethod"hasbeenwidelyappliedinth

7、epracticeinthepastfewdecades.Meanwhile,facingthefaultsof"fourstagemethod",scholarsinthehomeandbroadhavedonelottoimproveit,butstillcan’tsolvetheproblemproposedbyhightrafficinvestigationcostandaggregateddata.Anditalsocan’tsatisfythedemandofmulti-goalsoftrafficplanning.Hence,disaggregate

8、dmode