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ID:36420865
大小:6.77 MB
页数:109页
时间:2019-05-10
《城际客运专线客运量预测理论及方法研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、西南交通大学硕士学位论文城际客运专线客运量预测理论及方法研究姓名:吕从高申请学位级别:硕士专业:安全技术及工程指导教师:蒋葛夫20081201西南交通大学硕士研究生学位论文第1页AbstractTheintercitypassenger—dedicatedlineisoneofthesignificantinfrastructuresintheplanningofurbanagglomeration,whichwillhavefar—reachinginfluencetothewholearrangementanddevelopmentmodel,anditsconstructionwillb
2、easystemsengineeringwithbroadaffectandstrongcomprehensiveness.Moreover,theforecastingofpassengervolumeistheinitialandbasicworkinthepassenge卜dedicatedline’Splanningandconstruction.Passengervolumeisthefoundationofline’Stechnicalstandardsandequipmentquantities,thekeyofprojectbenefits,andtheimportantbas
3、isoftheprogrammingoftransportationpatternandorganizationscheme.Therefore,ithasgreatsignificancetoforecastitbyascientificandrationalway.Thethesisaimsatestablishingapassengerflowforecastingmannerfortheintercitypassenger—dedicatedlinewhichfitforournationalconditions,andofferingsomereferenceandbasistoth
4、edecisionofitsconstruction.Abovea11.theintercitypassenger-dedicatedlineiSdiscussedindetail,includingtheexplanationofitsconceptandcharacteristics,theanalysisofpassengerflow’Sgenerationmechanism,traitsandinfluencingfactors.Andthen,itsfunctionsandorientationsareanalyzedthroughtherelationshipsbetweenthe
5、intercitypassenger-dedicatedlineandothertrafficmodes.Afterwards,someforecastingmethodsofpassengertransportvolumeareintroducedandcompared,whicharewidelyusedhomeandabroad,andtheirshortagesandlimitsarepointedout.Thethoughtsofpresentforecastingmethodsareaccepted,andsomeimprovementsaremadeaswell.Basedonf
6、our-stagepredictmethod,anewmethodisproposed,whichtakesthestagepredictmethodastheprogress,thetwo.stagedivisionpredictmethodasthesubject.Theameliorationofthenewmethodisthat,makingthepre—partitionfirst,andtheunionsdistributepartitionfollowed,whichjointwiththeoperatingorganizations,consideringthecorpora
7、tionandcompetitionamongallthepublictrafficmeans,andpresentingthethoughtofrepeatedallotmentvalidation.Besides,inordertomaketheresultclosetothereality,thepredictmeansandmodelsineverystageareimproved.Int
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