Special Issue "Emerging Techniques of AI for Mobility Analysis and Mining"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: 20 June 2019

Special Issue Editors

Guest Editor
Dr. Salvatore Rinzivillo

KDDLab, ISTI, CNR, Italy
Website | E-Mail
Guest Editor
Dr. Luca Pappalardo

ISTI-CNR, Italy
Website | E-Mail
Guest Editor
Dr. Vinicius Cezar Monteiro De Lira

ISTI-CNR, Italy
Website | E-Mail

Special Issue Information

Dear Colleagues,

The availability of massive digital traces of human movements, such as call detail records (CDR) from mobile phones, GPS traces from phones and vehicles, and check-ins from social media platforms, offers the opportunity to investigate the quantitative patterns characterizing human mobility at different spatiotemporal resolutions. This broad social microscope has attracted scientists from diverse disciplines, from physics and network science to data mining, fueling advances from public health to transportation engineering and urban planning.

Artificial intelligence (AI), especially deep learning techniques, is increasingly used in the context of human mobility analysis with the purpose of (i) designing more accurate algorithms for predicting the future whereabouts of individuals, (ii) extracting complex patterns capturing the mobility habits of individuals, (iii) performing semantic enrichment of mobility information, and (iv) generating synthetic trajectories which are realistic in reproducing the mobility patterns of individuals.

This Special Issue will collect contributions on the recent advances and emerging techniques in using AI for human mobility analysis, mining, and modeling. This issue welcomes submissions of high-quality articles containing original research results and survey articles of exceptional merit.

Potential topics include, but are not limited to:

  • Next location and trajectory prediction
  • Modeling and simulation of human mobility and generation of synthetic trajectories
  • Application of Machine Learning and Deep Learning to human mobility
  • Mobility data mining
  • AI techniques to estimate commute and migration flows
  • Prediction of traffic congestion and road usage
  • Activity Recognition and modeling

Dr. Salvatore Rinzivillo
Dr. Luca Pappalardo
Dr. Vinicius Cezar Monteiro de Lira
Guest Editors

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. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). 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

  • human mobility
  • artificial intelligence
  • mobility data mining
  • location prediction
  • mathematical modeling
  • traffic forecasting

Published Papers

This special issue is now open for submission.
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