Connectionists: [CFP: IWANN'19] Special Session on Data-driven Intelligent Transportation Systems

[Daniel Urda Muñoz]

*** Apologies for cross-posting ***

Dear Colleague,
 
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.
 
IWANN 2019 Special Session on Data-driven Intelligent Transportation Systems
 
Abstract: 
 
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:

	+ Intelligent Transportation Systems and air pollution:
		• Neural networks for air quality forecast.
		• Prescriptive data analysis for local authorities’ assessment.
		• Vehicular air pollution in local urban areas.
		• Relationship among multimodal transportation and air pollution.
		• Freight distribution in urban contexts.
		• Maritime transportation and air pollution

	+ Computational intelligence in transportation systems:		
		• Traffic monitoring and surveillance using convolutional neural networks.
		• Neural networks for short-term traffic or flow forecast.
		• Disruption and/or disaster management systems.
		• Driver assistance systems, autonomous cars.
		• Route guidance and optimization through local and real-time vehicle information.
		• Intelligent containerization.
		• ITS for international transport (e.g., cross-border and transit transport facilitation) and intermodal transport.

	+ Sensor and network technology for Intelligent Transportation Systems:
		• IoT infrastructure to enhance traffic related data acquisition.
		• Computer vision.
		• Cybersecurity.
		• Wireless sensor networks and communications in vehicles.
		• Smart sensors: edge and/or fog computing.
		• Data fusion methods for heterogeneous sensors

 
Paper Submission Deadline
February 1, 2019
 
Paper acceptance notification date 
March 18, 2019 
 
Final paper submission deadline
March 26, 2019
 
Conference
June 12-14, 2019
 
                              
Chairs: 
Ignacio Turias Domínguez - University of Cadiz (Spain) ignacio.turias at uca.es <mailto:ignacio.turias at uca.es>
David Elizondo - De Montfort University (United Kingdom) elizondo at dmu.ac.uk <mailto:elizondo at dmu.ac.uk>
Francisco Ortega Zamorano - University of Malaga (Spain) fortega at lcc.uma.es <mailto:fortega at lcc.uma.es>


Best wishes,
Daniel

	
Daniel Urda Muñoz
PI - ASECTI (Big Data & Machine Learning)
Departamento de Ingeniería Informática, Escuela Superior de Ingeniería.
Universidad de Cádiz (Spain)
Avenida de la Universidad de Cádiz, nº 10, 
CP 11519, Puerto Real (Cádiz).
ResearcherID: B-2040-2017
ORCID: 0000-0003-2662-798X
Google Scholar: https://scholar.google.es/citations?user=fNblEd8AAAAJ&hl=es <https://scholar.google.es/citations?user=fNblEd8AAAAJ&hl=es>
ResearchGate: https://www.researchgate.net/profile/Daniel_Urda <https://www.researchgate.net/profile/Daniel_Urda>
daniel.urda at uca.es <mailto:daniel.urda at uca.es>

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