Traffic characterization and road categorization

Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010. === Cataloged from PDF version of thesis. === Includes bibliographical references. === This thesis looks into the ability to collect driving data reliably and cost-effectively, characterize driving behavior,...

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Main Author: Khoury, Joe, S.B. Massachusetts Institute of Technology
Other Authors: Sanjay Sarma.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/59940
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-599402019-05-02T15:45:05Z Traffic characterization and road categorization Khoury, Joe, S.B. Massachusetts Institute of Technology Sanjay Sarma. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010. Cataloged from PDF version of thesis. Includes bibliographical references. This thesis looks into the ability to collect driving data reliably and cost-effectively, characterize driving behavior, categorize roads, and finally link all together in a way to minimize the fuel consumption in cars. Using an OBDII scanner, a Smartphone, and an accelerometer, we were able to collect data from various types of cars. Then, we used Matlab in order to analyze the data and compare them visually. We found out that using a Smartphone's built-in GPS and accelerometer is sufficient to record all the basic information required to enable us to model driving behavior and characterize roads. This thesis also aims at establishing a basis for future work to determine how driving patterns relate to fuel consumption. by Joe Khoury. S.B. 2010-11-08T17:49:19Z 2010-11-08T17:49:19Z 2010 2010 Thesis http://hdl.handle.net/1721.1/59940 676913133 eng M.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. http://dspace.mit.edu/handle/1721.1/7582 63 p. application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Mechanical Engineering.
spellingShingle Mechanical Engineering.
Khoury, Joe, S.B. Massachusetts Institute of Technology
Traffic characterization and road categorization
description Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010. === Cataloged from PDF version of thesis. === Includes bibliographical references. === This thesis looks into the ability to collect driving data reliably and cost-effectively, characterize driving behavior, categorize roads, and finally link all together in a way to minimize the fuel consumption in cars. Using an OBDII scanner, a Smartphone, and an accelerometer, we were able to collect data from various types of cars. Then, we used Matlab in order to analyze the data and compare them visually. We found out that using a Smartphone's built-in GPS and accelerometer is sufficient to record all the basic information required to enable us to model driving behavior and characterize roads. This thesis also aims at establishing a basis for future work to determine how driving patterns relate to fuel consumption. === by Joe Khoury. === S.B.
author2 Sanjay Sarma.
author_facet Sanjay Sarma.
Khoury, Joe, S.B. Massachusetts Institute of Technology
author Khoury, Joe, S.B. Massachusetts Institute of Technology
author_sort Khoury, Joe, S.B. Massachusetts Institute of Technology
title Traffic characterization and road categorization
title_short Traffic characterization and road categorization
title_full Traffic characterization and road categorization
title_fullStr Traffic characterization and road categorization
title_full_unstemmed Traffic characterization and road categorization
title_sort traffic characterization and road categorization
publisher Massachusetts Institute of Technology
publishDate 2010
url http://hdl.handle.net/1721.1/59940
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