Call for Papers for a Thematic Issue on Urban Computing and Mobility Pattern Analysis
Urbanization has modernized life, but it has also caused problems such as traffic congestion, energy consumption, and pollution. Urban computing aims to solve these problems using data generated by the city or opportunistic data obtained through crowdsourcing (e.g., traffic flow, human mobility, geospatial data). It integrates urban sensing, data management, analysis and service provision to continuously improve urban life, urban operations and the environment. Urban computing is interdisciplinary, merging computer science with fields such as civil engineering (e.g., transportation engineering), and sociology.
Smart environments are expanding from artefacts to smart cities, encompassing various urban activities. To understand and optimize urban mobility and human behaviour, machine learning models have been proposed. Smart mobility, or smart transport, is a vital component of smart cities, which use information and communications technologies (ICT) to reduce road accidents, energy consumption, CO2 emissions, noise and congestion. It represents a revolution in intelligent transport systems (ITS), intending to reduce traffic-related greenhouse gas emissions and economic losses due to congestion. Urban Computing covers a wide range of topics, including smart city applications, urban sensing, and spatial analytics. This thematic issue invites contributions focused on innovative methodologies for analyzing and predicting mobility patterns using diverse data sources like GPS traces, mobile phone data, transit logs, and social media feeds.
Potential topics of interest include but are not limited to:
- Urban Computing
- Mobility Pattern Analysis
- Intelligent Transport Systems
- Ubiquitous Transport Technologies and Ambient Intelligence
- Volunteered Geographic Information
- Behaviour Modelling
- Smart Mobility in Smart Cities
- Machine Learning in Mobility
- Opportunistic Data Crowdsourcing
- Emerging Mobility Services
- On-Demand Shared Mobility Services
- Emerging Mobility Technologies
Guest Editors
Dr. Ana Alves
Tenured Assistant Professor
Coimbra Institute of Engineering, Polytechnic University of Coimbra, Portugal
&
CISUC, University of Coimbra, Portugal
E-mail: ana@dei.uc.pt
Google Scholar: https://scholar.google.pt/citations?user=B046Q8QAAAAJ
Dr. Filipe Rodrigues
Associate Professor
DTU, Technical University of Denmark, Denmark
E-mail: rodr@dtu.dk
Google Scholar: https://scholar.google.pt/citations?hl=pt-PT&authuser=1&user=MKe2aRYAAAAJ
Dr. Merkebe Getachew Demissie
Assistant Professor
Department of Civil Engineering, University of Calgary, Canada
E-mail: merkebe.demissie@ucalgary.ca
Google Scholar: https://scholar.google.pt/citations?user=qnvi2gMAAAAJ
Timeline
Submission Deadline: 1 November 2024 (System opens for submissions on 1 October 2024)
Authors Notification: 31 January 2025
1st Revised Papers Deadline: 1 April 2025
Revised Notification: 1 June 2025
Second Revised Papers Deadline: 30 June 2025
Final Notification: 15 July 2025
Publication Date: September 2025
About the Journal
The Journal of Ambient Intelligence and Smart Environments (JAISE) (impact factor 1.8, CiteScore 4.3) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing.
Instructions for Authors
Contributions must be at least 12 pages in length. Submitted manuscripts should not have been previously published nor be currently under consideration for publication elsewhere. Conference papers may be submitted if the paper has been rewritten and expanded to at least 30% (proofs to be included in the cover letter), and, if appropriate, written permissions must have been obtained from any copyright holders of the original paper.
Additional information about the journal, including detailed instructions for authors can be found on the journal website. Submissions should be submitted to the journal's online submission system under Section: Urban Computing and Mobility Pattern Analysis.