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BA-Chatbot_Ali_Thesis/data_service/tei_xml.txt

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2023-11-15 14:28:48 +01:00
<?xml version="1.0" encoding="UTF-8"?>
<TEI xml:space="preserve" xmlns="http://www.tei-c.org/ns/1.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.tei-c.org/ns/1.0 https://raw.githubusercontent.com/kermitt2/grobid/master/grobid-home/schemas/xsd/Grobid.xsd"
xmlns:xlink="http://www.w3.org/1999/xlink">
<teiHeader xml:lang="en">
<fileDesc>
<titleStmt>
<title level="a" type="main">Traffic Origins: A Simple Visualization Technique to Support Traffic Incident Analysis</title>
</titleStmt>
<publicationStmt>
<publisher/>
<availability status="unknown"><licence/></availability>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<author>
<persName><forename type="first">Afian</forename><surname>Anwar</surname></persName>
</author>
<author>
<persName><forename type="first">Till</forename><surname>Nagel</surname></persName>
<email>nagel@fh-potsdam.de</email>
</author>
<author>
<persName><forename type="first">Carlo</forename><surname>Ratti</surname></persName>
<email>ratti@mit.edu</email>
</author>
<author>
<affiliation key="aff0">
<orgName type="department">Computer Science</orgName>
<orgName type="laboratory">Artificial Intelligence Lab</orgName>
<orgName type="institution">Massachusetts Institute of Technology</orgName>
</affiliation>
</author>
<author>
<affiliation key="aff1">
<orgName type="laboratory">Interaction Design Lab</orgName>
<orgName type="institution">University of Applied Sciences Potsdam</orgName>
</affiliation>
</author>
<author>
<affiliation key="aff2">
<orgName type="institution">Senseable City Laboratory Massachusetts Institute of Technology</orgName>
</affiliation>
</author>
<title level="a" type="main">Traffic Origins: A Simple Visualization Technique to Support Traffic Incident Analysis</title>
</analytic>
<monogr>
<imprint>
<date/>
</imprint>
</monogr>
<idno type="MD5">50E1BB6F8DF88947C8E9E522E818C163</idno>
<idno type="DOI">10.1109/PacificVis.2014.35</idno>
</biblStruct>
</sourceDesc>
</fileDesc>
<encodingDesc>
<appInfo>
<application version="0.7.3" ident="GROBID" when="2023-11-15T12:28+0000">
<desc>GROBID - A machine learning software for extracting information from scholarly documents</desc>
<ref target="https://github.com/kermitt2/grobid"/>
</application>
</appInfo>
</encodingDesc>
<profileDesc>
<textClass>
<keywords>
<term>Software [H</term>
<term>1</term>
<term>2]: User/Machine Systems-Human factors Software [H</term>
<term>5</term>
<term>2]: Computer Graphics-Graphical User In-</term>
</keywords>
</textClass>
<abstract>
<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>
</abstract>
</profileDesc>
</teiHeader>
<text xml:lang="en">
</text>
</TEI>