A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

[HTML][HTML] Individual mobility prediction review: Data, problem, method and application

Z Ma, P Zhang - Multimodal transportation, 2022 - Elsevier
The 'sharing'business models and on-demand services have been altering city dwellers'
travel habits from buying the means of transport to buying mobility services based on needs …

Next place prediction using mobility markov chains

S Gambs, MO Killijian… - Proceedings of the first …, 2012 - dl.acm.org
In this paper, we address the issue of predicting the next location of an individual based on
the observations of his mobility behavior over some period of time and the recent locations …

Where would i go next? large language models as human mobility predictors

X Wang, M Fang, Z Zeng, T Cheng - arxiv preprint arxiv:2308.15197, 2023 - arxiv.org
Accurate human mobility prediction underpins many important applications across a variety
of domains, including epidemic modelling, transport planning, and emergency responses …

Using GPS to learn significant locations and predict movement across multiple users

D Ashbrook, T Starner - Personal and Ubiquitous computing, 2003 - Springer
Wearable computers have the potential to act as intelligent agents in everyday life and to
assist the user in a variety of tasks, using context to determine how to act. Location is the …

Analysis of human mobility patterns from GPS trajectories and contextual information

K Siła-Nowicka, J Vandrol, T Oshan… - International Journal …, 2016 - Taylor & Francis
Human mobility is important for understanding the evolution of size and structure of urban
areas, the spatial distribution of facilities, and the provision of transportation services. Until …

An open source approach to the design and implementation of Digital Twins for Smart Manufacturing

V Damjanovic-Behrendt, W Behrendt - International Journal of …, 2019 - Taylor & Francis
This paper discusses the design of a Digital Twin (DT) demonstrator for Smart
Manufacturing, following an open source approach for implementation. Open source …

Ego-topo: Environment affordances from egocentric video

T Nagarajan, Y Li, C Feichtenhofer… - Proceedings of the …, 2020 - openaccess.thecvf.com
First-person video naturally brings the use of a physical environment to the forefront, since it
shows the camera wearer interacting fluidly in a space based on his intentions. However …

Mining significant semantic locations from GPS data

X Cao, G Cong, CS Jensen - Proceedings of the VLDB Endowment, 2010 - dl.acm.org
With the increasing deployment and use of GPS-enabled devices, massive amounts of GPS
data are becoming available. We propose a general framework for the mining of …

Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks

J Sun, J Kim - Transportation Research Part C: Emerging …, 2021 - Elsevier
This paper aims to incorporate travel time prediction in the next location prediction problem
to enable the prediction of the city-wide movement trajectory of an individual vehicle by …