Urban Human Mobility Modelling and Prediction: Impact of Comfort and Well-Being Indicators

L Rosa, F Silva, C Analide - Progress in Artificial Intelligence: 20th EPIA …, 2021 - Springer
There are increasingly more discussions on and guidelines about different levels of
indicators surrounding smart cities (eg, comfort, well-being and weather conditions). They …

Online deep ensemble learning for predicting citywide human mobility

Z Fan, X Song, T Xia, R Jiang, R Shibasaki… - Proceedings of the …, 2018 - dl.acm.org
Predicting citywide human mobility is critical to an effective management and regulation of
city governance, especially during a rare event (eg large event such as New Year's …

Towards an event-aware urban mobility prediction system

Z Wang, R Jiang, Z Fan, X Song… - Proceedings of the …, 2023 - dl.acm.org
Today, thanks to the rapid developing mobile and sensor networks in IoT (Internet of Things)
systems, spatio-temporal big data are being constantly generated. They have brought us a …

Predictability in Human Mobility: From Individual to Collective (Vision Paper)

Y Zhang, Z Yu, M Dang, E Xu, B Guo, Y Liang… - ACM Transactions on …, 2023 - dl.acm.org
Human mobility is the foundation of urban dynamics and its prediction significantly benefits
various downstream location-based services. Nowadays, while deep learning approaches …

[PDF][PDF] Deep learning for human mobility: a survey on data and models

M Luca, G Barlacchi, B Lepri, L Pappalardo - arXiv preprint arXiv …, 2020 - iris.cnr.it
Urban population is increasing strikingly and human mobility is becoming more complex
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …

Urban mobility prediction using Twitter

S Khan, A Rahimi, N Bergmann - … , Intl Conf on Cloud and Big …, 2020 - ieeexplore.ieee.org
The characteristics and dynamics of human mobility have vital implications in areas such as
disaster management, transportation planning and infrastructure management. While …

Online trajectory prediction for metropolitan scale mobility digital twin

Z Fan, X Yang, W Yuan, R Jiang, Q Chen… - Proceedings of the 30th …, 2022 - dl.acm.org
Knowing" what is happening" and" what will happen" of the mobility in a city is the building
block of a data-driven smart city system. In recent years, mobility digital twin that makes a …

Prediction of intra-urban human mobility by integrating regional functions and trip intentions

S Shi, L Wang, S Xu, X Wang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Understanding intra-urban human mobility patterns and their potential driving forces are vital
to city planning and commercial site selection. In this paper, we first investigate the functions …

[HTML][HTML] Smart city mobility application—gradient boosting trees for mobility prediction and analysis based on crowdsourced data

I Semanjski, S Gautama - Sensors, 2015 - mdpi.com
Mobility management represents one of the most important parts of the smart city concept.
The way we travel, at what time of the day, for what purposes and with what transportation …

Deep learning of spatiotemporal patterns for urban mobility prediction using big data

Y Wang, F Currim, S Ram - Information Systems Research, 2022 - pubsonline.informs.org
Timely and accurate prediction of human movement in urban areas offers instructive insights
into transportation management, public safety, and location-based services, to name a few …