A survey on deep learning for human mobility
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 …
such as disease spreading, urban planning, well-being, pollution, and more. The …
[HTML][HTML] Agent-based modeling in urban human mobility: A systematic review
Urban mobility is a complex system influenced by various factors such as infrastructure,
technology, and human behavior. Agent-based modeling (ABM) has emerged as a valuable …
technology, and human behavior. Agent-based modeling (ABM) has emerged as a valuable …
[HTML][HTML] Combining heterogeneous data sources for spatio-temporal mobility demand forecasting
There is a growing need to optimize mobility in medium to large-size cities. The use of a car
for one-person trips is widely established as a common trend, which combined with the age …
for one-person trips is widely established as a common trend, which combined with the age …
[PDF][PDF] Deep learning for human mobility: a survey on data and models
M Luca, G Barlacchi, B Lepri, L Pappalardo - ar**
prosperous, sustainable, and resilient urban futures. Existing SLRTP decision support tools …
prosperous, sustainable, and resilient urban futures. Existing SLRTP decision support tools …
Quantitative and Qualitative Evaluation of Reinforcement Learning Policies for Autonomous Vehicles
Optimizing traffic dynamics in an evolving transportation landscape is crucial, particularly in
scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist with …
scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist with …
Enhancing crowd flow prediction in various spatial and temporal granularities
The diffusion of the Internet of Things allows nowadays to sense human mobility in great
detail, fostering human mobility studies and their applications in various contexts, from traffic …
detail, fostering human mobility studies and their applications in various contexts, from traffic …
Trajectory test-train overlap in next-location prediction datasets
Next-location prediction, consisting of forecasting a user's location given their historical
trajectories, has important implications in several fields, such as urban planning, geo …
trajectories, has important implications in several fields, such as urban planning, geo …
A mechanistic data-driven approach to synthesize human mobility considering the spatial, temporal, and social dimensions together
Modelling human mobility is crucial in several areas, from urban planning to epidemic
modelling, traffic forecasting, and what-if analysis. Existing generative models focus mainly …
modelling, traffic forecasting, and what-if analysis. Existing generative models focus mainly …