<?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>2026-09-18T22:52:55Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/77454" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/77454</identifier><datestamp>2022-01-13T07:54:29Z</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">Kent Larson.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Zhou, SiZhi</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2013-03-01T15:06:50Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">826648000</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.</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 (p. 47-49).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Mobility on Demand is a new transportation paradigm aimed to provide sustainable transportation in urban settings with a fleet of electric vehicles. Usage scenarios prpopsed by Mobility on Demand systems must allow one-way rentals. However, one-way rentals bring significant challenges to fleet management because areas of high demand will tend to lose their inventory, whereas areas of low demand will tend to accumulate inventory. Dynamic incentives can be provided to encourage different usage patterns and alleviate the problem of demand asymmetry. This thesis proposes a dynamic incentive scheme for rental vehicle fleet management in the context of Mobility on Demand. Simulation using Vienna taxi data shows the scheme to be effective at maintaining the equalibrium state of the fleet. It holds great promise to be incorporated in a real-world deployment of Mobility on Demand system.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by SiZhi Zhou.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">49 p.</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 
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Dynamic incentive scheme for rental vehicle fleet management</dim:field>
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   	&lt;Title>Dynamic incentive scheme for rental vehicle fleet management&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Mobility on Demand is a new transportation paradigm aimed to provide sustainable transportation in urban settings with a fleet of electric vehicles. Usage scenarios prpopsed by Mobility on Demand systems must allow one-way rentals. However, one-way rentals bring significant challenges to fleet management because areas of high demand will tend to lose their inventory, whereas areas of low demand will tend to accumulate inventory. Dynamic incentives can be provided to encourage different usage patterns and alleviate the problem of demand asymmetry. This thesis proposes a dynamic incentive scheme for rental vehicle fleet management in the context of Mobility on Demand. Simulation using Vienna taxi data shows the scheme to be effective at maintaining the equalibrium state of the fleet. It holds great promise to be incorporated in a real-world deployment of Mobility on Demand system.&lt;/Abstract>
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