<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T04:35:03Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/93856" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/93856</identifier><datestamp>2022-01-13T07:54:05Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Domitilla Del Vecchio.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Mojtaba, Forghani (Forghani Oozroody)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2015-02-05T18:30:01Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2015-02-05T18:30:01Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2014</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2014</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/93856</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">901507516</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 55-56).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, we have designed and implemented a safety control system for collision avoidance near intersections. We have solved the corresponding control problems for a general class of systems that also includes the scenario of the two consecutive vehicles approaching an intersection, which leads to the design of the collision avoidance system. We have gathered the data of behavior of drivers as they approach intersections and have built a stochastic model for that through an optimization problem. The model generates a non-deterministic profile for acceleration of a vehicle which is not equipped with the collision avoidance system and it is used to estimate and predict future stopping profiles of the vehicle in order to take the right control action for avoidance or mitigation of accidents. First we have verified the consistency of the theoretical model with its expected behavior after implementation and then we have implemented the control system on the Prius vehicle in collaboration with TTC (Toyota Technical Center), Ann Arbor, Michigan.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Mojtaba Forghani.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">56 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Design and implementation of safety control for a class of stochastic order preserving systems with application to collision avoidance near intersections</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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	&lt;Language>eng&lt;/Language>
   	&lt;Title>Design and implementation of safety control for a class of stochastic order preserving systems with application to collision avoidance near intersections&lt;/Title>
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   	&lt;PublicationDate>2014&lt;/PublicationDate>
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        	&lt;DisplayName>Mojtaba, Forghani (Forghani Oozroody)&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>In this thesis, we have designed and implemented a safety control system for collision avoidance near intersections. We have solved the corresponding control problems for a general class of systems that also includes the scenario of the two consecutive vehicles approaching an intersection, which leads to the design of the collision avoidance system. We have gathered the data of behavior of drivers as they approach intersections and have built a stochastic model for that through an optimization problem. The model generates a non-deterministic profile for acceleration of a vehicle which is not equipped with the collision avoidance system and it is used to estimate and predict future stopping profiles of the vehicle in order to take the right control action for avoidance or mitigation of accidents. First we have verified the consistency of the theoretical model with its expected behavior after implementation and then we have implemented the control system on the Prius vehicle in collaboration with TTC (Toyota Technical Center), Ann Arbor, Michigan.&lt;/Abstract>
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