A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Generative models for synthetic urban mobility data: A systematic literature review
A Kapp, J Hansmeyer, H Mihaljević - ACM Computing Surveys, 2023 - dl.acm.org
Although highly valuable for a variety of applications, urban mobility data are rarely made
openly available, as it contains sensitive personal information. Synthetic data aims to solve …
openly available, as it contains sensitive personal information. Synthetic data aims to solve …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
[HTML][HTML] Real-time GIS for smart cities
Evidence suggests that the proportion of the human population living in cities will continue to
grow, to the point where over 90% of the worldLs population will be living in one form of city …
grow, to the point where over 90% of the worldLs population will be living in one form of city …
Understanding crowd behaviors in a social event by passive wifi sensing and data mining
Understanding crowd behaviors in a large social event is crucial for event management.
Passive WiFi sensing, by collecting WiFi probe requests sent from mobile devices, provides …
Passive WiFi sensing, by collecting WiFi probe requests sent from mobile devices, provides …
Epidemic risk assessment by a novel communication station based method
Z Gu, L Wang, X Chen, Y Tang, X Wang… - … on Network Science …, 2021 - ieeexplore.ieee.org
The COVID-19 pandemic has caused serious consequences in the last few months and
trying to control it has been the most important objective. With effective prevention and …
trying to control it has been the most important objective. With effective prevention and …
Toward understanding crowd mobility in smart cities through the internet of things
Understanding crowd mobility behaviors would be a key enabler for crowd management in
smart cities, benefiting various sectors such as public safety, tourism and transportation. This …
smart cities, benefiting various sectors such as public safety, tourism and transportation. This …
A generic future mobility sensing system for travel data collection, management, fusion, and visualization
In studies of human mobility, there is a need for a holistic system for collection of sensing
data, management of data flows, fusion of multiple data sources, and visualization of …
data, management of data flows, fusion of multiple data sources, and visualization of …
[HTML][HTML] Modelling representative population mobility for COVID-19 spatial transmission in South Africa
A Potgieter, IN Fabris-Rotelli, Z Kimmie… - Frontiers in big …, 2021 - frontiersin.org
The COVID-19 pandemic starting in the first half of 2020 has changed the lives of everyone
across the world. Reduced mobility was essential due to it being the largest impact possible …
across the world. Reduced mobility was essential due to it being the largest impact possible …
[HTML][HTML] Nation-wide human mobility prediction based on graph neural networks
F Terroso-Sáenz, A Muñoz - Applied Intelligence, 2022 - Springer
Nowadays, the anticipation of human mobility flow has important applications in many
domains ranging from urban planning to epidemiology. Because of the high predictability of …
domains ranging from urban planning to epidemiology. Because of the high predictability of …