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] Combining heterogeneous data sources for spatio-temporal mobility demand forecasting
II Prado-Rujas, E Serrano, A García-Dopico… - Information …, 2023 - Elsevier
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
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 …
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
Amalgamating vehicular networks with vehicular clouds, AI, and big data for next-generation its services
Advances in the connected vehicle and cloud computing technologies, Big data, and
artificial intelligence techniques have opened new research opportunities. We can integrate …
artificial intelligence techniques have opened new research opportunities. We can integrate …
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
G Cornacchia, L Pappalardo - ISPRS International Journal of Geo …, 2021 - mdpi.com
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 …
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation
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 …
Optimization of airfoil fin PCHE for the power conversion system of lead-based reactor based on reinforcement learning
As the Gen IV nuclear reactors, the lead-based reactor employs the S-CO 2 Brayton cycle.
As the intermediate heat exchangers, high or low temperature regenerators and precoolers …
As the intermediate heat exchangers, high or low temperature regenerators and precoolers …