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Recommender systems for smart cities
Among other conceptualizations, smart cities have been defined as functional urban areas
articulated by the use of Information and Communication Technologies (ICT) and modern …
articulated by the use of Information and Communication Technologies (ICT) and modern …
A knowledge-based AI framework for mobility as a service
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 …
services to travellers based on their transport needs. This paper proposes a knowledge …
Review on recent trends in recommender systems for smart cities
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 …
urban community. Indeed, the emergent technologies enable to improve the quality of life of …
Inferring urban mobility and habits from user location history
Retrieving exhaustive information about individual mobility patterns is an essential step in
order to implement effective mobility solutions. Despite their popularity, digital travel surveys …
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
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 …
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
Intelligent transportation system applications often require mining salient patterns in a
massive amount of mobility data. Previous mobility pattern mining methods are mainly …
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
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 …
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 …
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
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 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 …
paradigm. The increased urbanization and the advent of sharing economy require a …