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<p><a href="http://www.journals.elsevier.com/transportation-research-part-c-emerging-technologies/news/visualization-and-visual-analytics-in-transportation/">Call for InfoViz Papers</a> relevant to the Transportation Domain<o:p></o:p></p>
<p>Increasingly-mature visualization techniques along with the growing availability and complexity of transportation data present an unprecedented opportunity to tackle a large array of transportation needs. These can include things like: managing traffic with
real-time data, facilitating collaboration among decision makers, monitoring and managing system performance, communicating complex concepts to the public, or helping in information discovery.<o:p></o:p></p>
<p><br>
This special issue of Transportation Research Part C is intended to advance the research, development, use, and understanding of visualization and visual analytics that help contribute to discovery, decision-making, performance management, collaboration, and
communication in all aspects of transportation. The scope of this special issue will include, but is not limited to, the following topics:<o:p></o:p></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
“Big data” visual analytics<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Unique visualizations of “streaming data”<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Visualization tools and techniques that mine “high dimensional” data sets<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Collaborative visualization for decision making<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Visualization of performance measures—especially related to large geographic areas, innovative dashboards, etc.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Analysis of trends and/or predictive “what-if” scenarios in massive data sets<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Case-studies that evaluate the benefits of visualization<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Public-focused interactive data visualizations<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Cluster analysis, pattern recognition, and force-directed graphs<o:p></o:p></li></ul>
<p>Papers describing advanced prototypes, systems, tools and techniques, as well as general survey papers indicating future directions, are also encouraged. <o:p></o:p></p>
<p>You are invited to submit a full paper and multimedia files to this special issue of
<em>Transportation Research Part C</em>, a prestigious journal in the field. <o:p></o:p></p>
<p><strong>Submission Method</strong><br>
This special issue will make use of special on-line multi-media features to help authors convey their research more effectively. In addition to full-papers, each author will be able to submit videos and/or links to interactive demos of their research. The
length of each paper, including abstract and references, may not exceed 10,000 words (note that each table, figure, or photograph accompanying the text is counted as 250 words). All submissions shall be submitted via the
<em>Transportation Research Part C</em> online submission system and go through a normal peer review process.:
<a href="http://ees.elsevier.com/trc" target="_blank">http://ees.elsevier.com/trc</a><o:p></o:p></p>
<p><strong>Key Dates</strong><br>
Submission of full paper online: June 15, 2013<br>
Feedback from first-round reviews issued: September 15, 2013<br>
Revised manuscripts due: December 15, 2013<br>
Feedback from second-round reviews issued (if need be): February 15, 2014<br>
Final manuscripts due: March 15, 2014<br>
Planned publication: 2014<o:p></o:p></p>
<p><strong>Inquiries</strong><br>
Inquiries should be directed to:<br>
Michael L. Pack, Director<br>
Center for Advanced Transportation Technology Laboratory, University of Maryland, 301.405.0722 Email:
<a href="mailto:PackML@umd.edu">PackML@umd.edu</a><o:p></o:p></p>
<p class="MsoNormal"><a href="http://www.journals.elsevier.com/transportation-research-part-c-emerging-technologies/news/visualization-and-visual-analytics-in-transportation/">http://www.journals.elsevier.com/transportation-research-part-c-emerging-technologies/news/visualization-and-visual-analytics-in-transportation/</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">--<o:p></o:p></p>
<p class="MsoNormal">Michael L. Pack<o:p></o:p></p>
<p class="MsoNormal">Director, CATT Laboratory<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">University of Maryland<o:p></o:p></p>
<p class="MsoNormal">Center for Advanced Transportation Technology<o:p></o:p></p>
<p class="MsoNormal">3144 J. Kim Engineering Bldg.<o:p></o:p></p>
<p class="MsoNormal">College Park, MD 20742<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">301.405.0722 (office)<o:p></o:p></p>
<p class="MsoNormal">240.676.4060 (cell)<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><a href="http://www.cattlab.umd.edu">www.cattlab.umd.edu</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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