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dc.contributor.advisorMoshe Ben-Akiva.en_US
dc.contributor.authorHua, Sean (Sean X.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2018-12-11T20:38:43Z
dc.date.available2018-12-11T20:38:43Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/119524
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 67-69).en_US
dc.description.abstractThe MITEI-sponsored Mobility of the Future project sets out to create a viable framework for analyses and predictions of urban transportation behavior in response to inevitable changes such as improved vehicle technologies, emergence of novel transit services, and policy changes motivated by population growth and emission control. In order to feasibly simulate these scenarios on a global scale, we need to first determine a few prototypical cities that best represent the entire world, each exhibiting qualities that encompass the group to which it belongs. Our methodology for accomplishing this is centered around machine learning. After collecting and pruning relevant, up-to-date data, we perform dimension reduction and clustering to ultimately generate appropriate prototype cities. These cities will be used as test beds for future mobility scenario exploration and analyses.en_US
dc.description.statementofresponsibilityby Sean Hua.en_US
dc.format.extent69 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleMobility of the future : typologizing global cities for the simulation of future urban mobility patterns and energy scenariosen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc1066694477en_US


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