Recommender systems for smart cities

L Quijano-Sánchez, I Cantador, ME Cortés-Cediel… - Information systems, 2020 - Elsevier
Among other conceptualizations, smart cities have been defined as functional urban areas
articulated by the use of Information and Communication Technologies (ICT) and modern …

A knowledge-based AI framework for mobility as a service

E Rajabi, S Nowaczyk, S Pashami, M Bergquist… - Sustainability, 2023 - mdpi.com
Mobility as a Service (MaaS) combines various modes of transportation to present mobility
services to travellers based on their transport needs. This paper proposes a knowledge …

Review on recent trends in recommender systems for smart cities

S Abakarim, S Qassimi, S Rakrak - The International Conference on …, 2023 - Springer
Smart cities are defined as municipalities that use ICT to consider the requirements of its
urban community. Indeed, the emergent technologies enable to improve the quality of life of …

Inferring urban mobility and habits from user location history

G Cantelmo, P Vitello, B Toader, F Viti - Transportation Research …, 2020 - Elsevier
Retrieving exhaustive information about individual mobility patterns is an essential step in
order to implement effective mobility solutions. Despite their popularity, digital travel surveys …

Using passive data collection methods to learn complex mobility patterns: an exploratory analysis

B Toader, G Cantelmo, M Popescu… - 2018 21st International …, 2018 - ieeexplore.ieee.org
Collecting detailed information about individual mobility behaviour is a fundamental step in
order to implement responsive solutions to mobility issues. One of the biggest challenges is …

Mining mobility patterns with trip-based traffic analysis zones: A deep feature embedding approach

J Lian, Y Li, SL Huang, L Zhang - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Intelligent transportation system applications often require mining salient patterns in a
massive amount of mobility data. Previous mobility pattern mining methods are mainly …

A Data‐Driven Scalable Method for Profiling and Dynamic Analysis of Shared Mobility Solutions

B Toader, A Moawad, T Hartmann… - Journal of Advanced …, 2021 - Wiley Online Library
The advent of Internet of Things will revolutionise the sharing mobility by enabling high
connectivity between passengers and means of transport. This generates enormous quantity …

[PDF][PDF] The Smart City: Spatial Planning, Partnership, Governance

L Ratajczak - 2022 - pure.ulster.ac.uk
This chapter introduces the Smart City (SC) concept, the role of technology in manipulating
urban space, and the effects on urban planning and governance. Section 1.2 outlines the …

[PDF][PDF] Research Article A Data-Driven Scalable Method for Profiling and Dynamic Analysis of Shared Mobility Solutions

B Toader, A Moawad, T Hartmann, F Viti - 2021 - academia.edu
Research Article A Data-Driven Scalable Method for Profiling and Dynamic Analysis of Shared
Mobility Solutions Page 1 Research Article A Data-Driven Scalable Method for Profiling and …

MOBILITY ANALYSIS AND PROFILING FOR SMART MOBILITY SERVICES: A BIG DATA DRIVEN APPROACH. An Integration of Data Science and Travel Behaviour …

B Toader - 2019 - orbilu.uni.lu
Smart mobility proved to be an important but challenging component of the smart cities
paradigm. The increased urbanization and the advent of sharing economy require a …