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dc.contributor.advisorEric Klopfer.en_US
dc.contributor.authorLiu, Xia, M. Eng. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2009-06-30T16:53:28Z
dc.date.available2009-06-30T16:53:28Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/45976
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.en_US
dc.descriptionIncludes bibliographical references (p. [39]).en_US
dc.description.abstractThe handheld computer Driver Trainer application is an element of a new training program by the transportation company to improve the safety of new truck drivers. Its aim is to aid trainers objectively evaluate truck drivers in the on-the-road driving portion of the newly planned training centers using the custom handheld device. The application will automate part of the evaluation process by using Telematics data to find driver mistakes, and to simplify the recording process for non-telematics related incidents. This thesis discusses the design of the support system and the interface of the handheld computer application.en_US
dc.description.statementofresponsibilityby Xia Liu.en_US
dc.format.extent1, [38] p.en_US
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/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleImproving driving training with a handheld performance support systemen_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.oclc334516124en_US


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