<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class="">*** Apologies for cross-posting. Please forward to colleagues who might be interested ***<br class=""><br class="">Dear Colleague,<br class=""> <br class="">We would like to cordially invite you to submit a paper for the International Work Conference on Artificial Neural Networks (IWANN 2019) Special Session on Data-driven Intelligent Transportation Systems in Las Palmas de Gran Canarias (Spain) 12 to 14 June, 2019.<br class=""> <br class=""><b class=""><u class="">IWANN 2019 Special Session on Data-driven Intelligent Transportation Systems</u></b><br class=""> <br class="">Abstract: <br class=""> <br class="">Intelligent Transportation Systems (ITS) use the Internet of Things (IoT) and advanced data communication technologies to build an integrated system of people, vehicles and roads. Accurate and real-time traffic related data is required to improve the performance of transportation systems, to monitorize and/or forecast the pollution rate, or to detect traffic congestion or disruption, among many others. In the recent years, the fast growth in technology has allowed the collection and availability of heterogeneous traffic related data, which enables the application of cutting-edge data analytics tools to overcome the latest challenges in this field. This session welcomes recent contributions in all áreas connected to data-driven techniques in ITS which address transport related issues including, but not limited to:<br class=""><br class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>+ Intelligent Transportation Systems and air pollution:<br class=""><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Neural networks for air quality forecast.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Prescriptive data analysis for local authorities’ assessment.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Vehicular air pollution in local urban areas.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Relationship among multimodal transportation and air pollution.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Freight distribution in urban contexts.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Maritime transportation and air pollution<br class=""></div><br class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>+ Computational intelligence in transportation systems:<span class="Apple-tab-span" style="white-space: pre;"> </span></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Traffic monitoring and surveillance using convolutional neural networks.<br class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Neural networks for short-term traffic or flow forecast.<br class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Disruption and/or disaster management systems.<br class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Driver assistance systems, autonomous cars.<br class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Route guidance and optimization through local and real-time vehicle information.<br class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Intelligent containerization.<br class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• ITS for international transport (e.g., cross-border and transit transport facilitation) and intermodal transport.<br class=""><br class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>+ Sensor and network technology for Intelligent Transportation Systems:<br class=""><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• IoT infrastructure to enhance traffic related data acquisition.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Computer vision.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Cybersecurity.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Wireless sensor networks and communications in vehicles.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Smart sensors: edge and/or fog computing.<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Data fusion methods for heterogeneous sensors<br class=""></div><br class=""> <br class=""><b class=""><u class="">Paper Submission Deadline</u></b><br class=""><b class=""><font color="#ff0005" class="">February 15th, 2019</font></b><br class=""> <br class=""><b class=""><u class="">Paper acceptance notification date </u></b><br class="">March 18th, 2019 <br class=""> <br class=""><b class=""><u class="">Final paper submission deadline</u></b><br class="">March 26th, 2019<br class=""> <br class=""><b class=""><u class="">Conference</u></b><br class="">June 12-14th, 2019<br class=""> <br class=""> <br class=""><b class=""><u class="">Chairs: </u></b><br class="">Ignacio Turias Domínguez - University of Cadiz (Spain) <a href="mailto:ignacio.turias@uca.es" class="">ignacio.turias@uca.es</a><div class="">David Elizondo - De Montfort University (United Kingdom) <a href="mailto:elizondo@dmu.ac.uk" class="">elizondo@dmu.ac.uk</a></div><div class="">Francisco Ortega Zamorano - University of Malaga (Spain) <a href="mailto:fortega@lcc.uma.es" class="">fortega@lcc.uma.es</a></div><div class=""><br class=""><br class="">Best wishes,</div></div><div class="">Daniel</div><div class=""><br class=""></div><div class="">
<div id="firmaInstitucionalUCA" style="border-top: 1px solid #aaa;" class=""><table border="0" cellspacing="0" cellspadding="0" style="padding: 0; margin:0;" class=""><tbody class=""><tr class=""><td valign="top" class=""><div style="float: left; width: 150px" class=""><img src="https://webmail.uca.es/img/uca.gif" alt="UCA" width="145" height="100" class=""></div></td><td valign="top" class=""><div style="float: left; border-left: 2px solid #f29200; padding-left: 10px; margin-top: 5px; font-family: Helvetica,Garamond,Arial,sans-serif; font-size: 12px; color: #000" class=""><div style="padding-top: 10px; font-size: 16px; color: #102954" class="">Daniel Urda Muñoz</div><div style="padding-top: 5x; font-size: 12px; color: #2c758f;" class="">PI - ASECTI (Big Data & Machine Learning)</div><div style="padding-top: 5px; font-size: 12px; color: #2c758f;" class=""><b class="">Departamento de Ingeniería Informática, Escuela Superior de Ingeniería.</b></div><div style="padding-top: 5x; font-size: 12px; color: #2c758f;" class="">Universidad de Cádiz (Spain)</div><div style="padding-top: 5px;" class="">Avenida de la Universidad de Cádiz, nº 10,
<br class="">CP 11519, Puerto Real (Cádiz).</div><div style="padding-top: 5px;" class=""><span style="color:#666;" class="">Tel:</span> +34 956483246</div><div style="padding-top: 5px;" class=""><span style="color:#666;" class="">ResearcherID:</span> B-2040-2017</div><div style="padding-top: 5px;" class=""><span style="color:#666;" class="">ORCID:</span> 0000-0003-2662-798X</div><div style="padding-top: 5px;" class=""><span style="color:#666;" class="">Google Scholar:</span> <a href="https://scholar.google.es/citations?user=fNblEd8AAAAJ&hl=es" style="text-decoration: none; color: #123465;" class="">https://scholar.google.es/citations?user=fNblEd8AAAAJ&hl=es</a></div><div style="padding-top: 5px;" class=""><span style="color:#666;" class="">ResearchGate:</span> <a href="https://www.researchgate.net/profile/Daniel_Urda" style="text-decoration: none; color: #123465;" class="">https://www.researchgate.net/profile/Daniel_Urda</a></div><div style="padding-top: 5px;" class=""><a href="mailto:daniel.urda@uca.es" style="text-decoration: none; color: #123465;" class="">daniel.urda@uca.es</a></div></div></td></tr></tbody></table><br clear="all" class=""></div>
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