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dc.contributor.advisorMoshe Ben-Akiva.en_US
dc.contributor.authorPeaks, Narindraen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2018-12-18T19:47:21Z
dc.date.available2018-12-18T19:47:21Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/119724
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.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 77-78).en_US
dc.description.abstractThe TRIPOD project aims to provide a system that optimizes energy savings during travel for a population of users, through personalized incentivization of efficient travel alternatives. The Future Mobility Sensing (FMS) Advisor provides the user interface for this system, allowing users to plan trips through a personalized menu of travel alternatives, receive rewards for selecting energy efficient options, and redeem those rewards for goods and services from partnered organizations. Packaged into a smartphone application, the Advisor provides an efficient user interface that allows users to plan trips, navigate those trips, view previously completed trips, and redeem rewards in the marketplace. However, it also requires a method to optimize usage of the sensors present in most smartphones to gather enough meaningful data on the users' travels in order to effectively personalize the trip planning process, as well as leverage that data to detect and validate the users' specified trips within the application so that rewards can properly be awarded. The validation algorithms are housed on a backend server that stores all the data for the system using a blockchain implementation in order to keep a record of transactions for all the trips and the marketplace. The FMS Advisor attempts to bring all four of these metrics, personalization, detection, validation, and incentivization, together into one mobile application framework, in a way that has not been done by any other applications currently on market.en_US
dc.description.statementofresponsibilityby Narindra Peaks.en_US
dc.format.extent78 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.titleSmartphone interface for incentivized energy optimization system : FMS Advisoren_US
dc.title.alternativeFuture Mobility Sensing Advisoren_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.oclc1078639357en_US


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