基于产业关联度的都市圈轨道交通客流预测方法优化研究

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1、。q6v删1㈣52㈣51㈣26*ftnmlU618墨煮交通戈訾硕士学位论文镕女题R基于产业关联度的都市圈轨道交通客流预测互蕉垡丝盐显一OptinfizationResearchontheForecastingMethod．．ofPassengerFlowinMetropolitanAre—a—Basedo—n—IndustryRelatedDegreeⅡ％*##：——型墨堂L一目*#g、q#：周涛教授级高工、邵毅明教授##{H☆{m．李№庆教#刘*提高级l=《¨20。8年11月ABSTRACTWith

2、theurbanizationspeedingup，causedtheregiontoevolvetothemetropolitanarea．Theformationanddevelopmentofthemetropolitanareaneedthehelpofthemassrapidrailtransit．Thereisneedingascientificandrationalpassengertrafficforecastofthemassrapidrailtransittoplanthemetr

3、opolitanarea’srailtransit．Therefore，therehavetheimportantpracticatolofcitypassengertrafficforecastinourcountry,butmetropolitanareapassengertrafficforecastresearchthenjuststarted，theexistingmethodofforecastingisstillunlikelytoadapttothecharacteristicsoft

4、hemetropolitantraffic．Therefore,howtocombinetllecharacteristicsofthemetropolitantransportation，establisharationalmetropolitanrailtransitandpassengerflowforecastisfulloftheoreticalresearchmeaningless．Thisarticleaimstostudytheanalysisofthemetropolitanrail

5、transitbackgroundandthecurrentpassengerflowforecastingmetropolitanareaonthebasisofoptimizingthesearchforamorerationalpassengerrailMetropolitanforecastingmethods．Onthebasisofanalyzingandsummarizingtheadvantagesanddisadvantagesoftheexistingtrackpassengerf

6、lowforecastingmethodsinthemetropolitanarea，addstheindustryrelateddegreetothedistributionmodel．Givethegraycorrelationcalculatingmethodoftheindustryrelateddegreebetweentwotrafficzone，improvedthebalanceofthesystemmodel，putouttheforecastingmethodofpassenger

7、flowinmetropolitanareabasedonindustryrelateddegree，takeChongqingone-houreconomiccircleforexample，giveaforecastandanalysisofthemetropassengerflowin2020，inordertopromotesthescientificityandtherationalityofurbantrafficplanandpassengerflowforecastinginurban

8、agglomeration．Keywords：metropolitanarea；industryrelateddegree；grayrelational；metropassengerflow；traveldistribution重庆交通大学学位论文原创性声明本人郑重声明：所呈交的学位论文，是本人在导师的指导下，独立进行研究工作所取得的成果。除文中已经注明引用的内容外，本论文不包含任何其他个人或集体已经发表或撰写过的作品成果。对本文的研究做出重要贡献的个人