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dc.contributor.advisorFred Moavenzadeh.en_US
dc.contributor.authorLin, Sandi Shih, 1981-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.en_US
dc.date.accessioned2005-08-24T22:15:16Z
dc.date.available2005-08-24T22:15:16Z
dc.date.copyright2003en_US
dc.date.issued2003en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/8036
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003.en_US
dc.descriptionIncludes bibliographical references (p. 163-177).en_US
dc.description.abstractIncreasing traffic congestion around the world is limiting urban mobility and contributing to unsustainable environmental, economic, and social conditions. The concept of intelligent transportation systems (ITS), which is defined as the application of computing and electronics technologies to transportation, offers potential for alleviating the negative effects of traffic congestion. These negative effects include impacts on road efficiency, the environment, safety, and cost. Institutional obstacles, however, limit ITS deployment. This thesis presents a portfolio of ITS technologies that are relevant in combating congestion. Technologies studied include Advanced Traffic Management Systems (ATMS), Advanced Traveler Information Systems (ATIS), Advanced Public Transportation Systems (APTS), Advanced Vehicle Control Systems (AVCS), and many others. Each technology is analyzed on the basis of benefits and costs, real world examples, barriers to implementation, and social implications. From this portfolio, an institutional deployment framework for ITS is developed based on the barriers to implementation shared by many of these technologies. This framework addresses political, economic, organizational, financial, legal, and information issues. After developing this framework, it is applied to ITS institutions in the cities of Singapore and Kuala Lumpur, Malaysia. Three conclusions can be drawn from this comparison. First, ITS can make significant impacts on congestion, efficiency, safety, and the environment. At the same time, one must consider the social implications and costs of deployment. Second, deploying ITS in urban areas is a complex challenge, requiring the consideration of a wide range of factors. Finally, implementation of ITS must be specific to a particular region; the imitation of other cities without localized planning may result in unsuccessful deployments.en_US
dc.description.statementofresponsibilityby Sandi Shih Lin.en_US
dc.format.extent177 p.en_US
dc.format.extent21244221 bytes
dc.format.extent21243980 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectCivil and Environmental Engineering.en_US
dc.titleAn institutional deployment framework for intelligent transportation systemsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.identifier.oclc52734073en_US


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