85 lines
3.1 KiB
Plaintext
85 lines
3.1 KiB
Plaintext
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<?xml version="1.0" encoding="UTF-8"?>
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<TEI xml:space="preserve" xmlns="http://www.tei-c.org/ns/1.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://www.tei-c.org/ns/1.0 https://raw.githubusercontent.com/kermitt2/grobid/master/grobid-home/schemas/xsd/Grobid.xsd"
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xmlns:xlink="http://www.w3.org/1999/xlink">
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<teiHeader xml:lang="en">
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<fileDesc>
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<titleStmt>
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<title level="a" type="main">Traffic Origins: A Simple Visualization Technique to Support Traffic Incident Analysis</title>
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</titleStmt>
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<publicationStmt>
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<publisher/>
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<availability status="unknown"><licence/></availability>
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</publicationStmt>
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<sourceDesc>
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<biblStruct>
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<analytic>
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<author>
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<persName><forename type="first">Afian</forename><surname>Anwar</surname></persName>
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</author>
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<author>
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<persName><forename type="first">Till</forename><surname>Nagel</surname></persName>
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<email>nagel@fh-potsdam.de</email>
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</author>
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<author>
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<persName><forename type="first">Carlo</forename><surname>Ratti</surname></persName>
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<email>ratti@mit.edu</email>
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</author>
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<author>
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<affiliation key="aff0">
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<orgName type="department">Computer Science</orgName>
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<orgName type="laboratory">Artificial Intelligence Lab</orgName>
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<orgName type="institution">Massachusetts Institute of Technology</orgName>
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</affiliation>
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</author>
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<author>
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<affiliation key="aff1">
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<orgName type="laboratory">Interaction Design Lab</orgName>
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<orgName type="institution">University of Applied Sciences Potsdam</orgName>
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</affiliation>
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</author>
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<author>
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<affiliation key="aff2">
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<orgName type="institution">Senseable City Laboratory Massachusetts Institute of Technology</orgName>
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</affiliation>
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</author>
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<title level="a" type="main">Traffic Origins: A Simple Visualization Technique to Support Traffic Incident Analysis</title>
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</analytic>
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<monogr>
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<imprint>
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<date/>
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</imprint>
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</monogr>
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<idno type="MD5">50E1BB6F8DF88947C8E9E522E818C163</idno>
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<idno type="DOI">10.1109/PacificVis.2014.35</idno>
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</biblStruct>
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</sourceDesc>
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</fileDesc>
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<encodingDesc>
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<appInfo>
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<application version="0.7.3" ident="GROBID" when="2023-11-15T12:28+0000">
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<desc>GROBID - A machine learning software for extracting information from scholarly documents</desc>
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<ref target="https://github.com/kermitt2/grobid"/>
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</application>
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</appInfo>
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</encodingDesc>
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<profileDesc>
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<textClass>
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<keywords>
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<term>Software [H</term>
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<term>1</term>
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<term>2]: User/Machine Systems-Human factors Software [H</term>
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<term>5</term>
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<term>2]: Computer Graphics-Graphical User In-</term>
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</keywords>
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</textClass>
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<abstract>
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<p>Figure 1: Traffic incidents highlighted using the Traffic Origins approach. When an incident occurs, its location is marked by an expanding circle that reveals traffic conditions in the immediate vicinity.</p>
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</abstract>
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</profileDesc>
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</teiHeader>
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<text xml:lang="en">
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</text>
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</TEI>
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