Escuela Técnica Superior de Ingenieros en Topografía, Geodesia y Cartografía  Universidad Politécnica de Madrid
Departamento de
Ingeniería Topográfica y Cartografía
UNIVERSIDAD POLITÉCNICA DE MADRID
Inicio    Mapa del Sitio    Contacto    Buscar   
Alumnos
EPADA
">Proyectos Fin de Carrera (ITT)
">Trabajo Fin de Grado
">Trabajo Fin de Máster
Tablón de Anuncios
Temas para TFG y TFM

cfp: Special Issue on "Big Data Challenges for Smart Cities", DATA MDPI Journal

Special Issue Editor

Guest Editor
Prof. Dr. Robert Laurini

Knowledge Systems Institute, Chicago, IL, USA; Institut National des Sciences Appliquées de Lyon, INSA Lyon, France
Website | E-Mail

Special Issue Information

Dear Colleagues,

Each day, local authorities are collecting zillions of bytes of data and they urgently long whether those data can be useful in decision-making. The so-called big data are coming from various sources, such as from real-time sensors for air pollution, traffic management and energy management, video-surveillance, administrative forms, GIS 2D or 3D data, GPS tracks, aerial photos, videos from drones, etc., without forgetting crowdsourcing for VGI and public participation.

For local administrators and elected officials in smart cities, the optimal use of their big data is very important, since ICT must not be the only the main resource, but rather the overall core of their smart governance.

Various challenges are emerging: How to structure big data? How to combine them efficiently? How to query them? How to extract knowledge? How to extract salient features, determining patterns and trends? How to combine them with deep learning? How to visualize them? How to integrate them into urban dashboards? How to preserve privacy? What are the best strategies for storing them? Surely many other challenges will appear.

In this Special Issue, we are especially interested in original papers dealing with these aspects, and/or describing novel experiences, as well as enriching big data theories with geographic aspects.

Prof. Dr. Robert Laurini
Guest Editor

Manuscript Submission Information

 

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • big data
  • smart cities
  • smart governance
  • urban knowledge extraction
  • geographic knowledge

 

  © 2014 Departamento de Ingeniería Topográfica y Cartografía
E.T.S.I. en Topografía, Geodesia y Cartografía. Campus Sur de la UPM.
Avenida del Mediterráneo km 7,0 (Calle Mercator 2). 28031 Madrid [Spain]
Tfno:[34] 91 336 7909 Fax: [34] 91 336 7932 Email: