[rede.APPIA] Deadline Extended: Thematic Issue on Urban Computing and Mobility Pattern Analysis – Journal of Ambient Intelligence and Smart Environments [JAISE]

Dear colleagues,

Please consider submitting a contribution to this thematic issue or share it with your contacts who might be interested:
https://www.iospress.com/news/call-for-papers-for-a-thematic-issue-on-urban-computing-and-mobility-pattern-analysis

Submission before March 1, 2025

Urbanization has modernized life but 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:
Ana Alves
Filipe Rodrigues

Merkebe Getachew Demissie          
Ana Alves

PhD in Computer Science
CISUC -Centre for Informatics and Systems of the University of Coimbra
ana@dei.uc.pt
http://eden.dei.uc.pt/~ana