Crowd flow prediction is one of the most remarkable issues in a wide range of areas, from
traffic control to public safety, and aims to forecast the inflow and outflow of crowds in each …

Crowd flow prediction is a fundamental urban computing problem. Recently, deep learning
has been successfully applied to solve this problem, but it relies on rich historical data. In …

Spatiotemporal crowd flow prediction is one of the key technologies in smart cities.
Currently, there are two major pain points that plague related research and practitioners …

With the rapid progress of urbanization, predicting citywide crowd flows has become
increasingly significant in many fields, such as traffic management and public security …

Multi-step citywide crowd flow prediction (MsCCFP) is to predict the in/out flow of each
region in a city in the given multiple consecutive periods. For traffic control and public safety …

With the rapid development of urban traffic, forecasting the flows of crowd plays an
increasingly important role in traffic management and public safety. However, it is very …

Crowd flow prediction is of great importance in a wide range of applications from urban
planning, traffic control to public safety. It aims to predict the inflow (the traffic of crowds …

Due to the increasing implementation of smart cities, crowd flow prediction has become a
crucial aspect in various fields such as transportation management and public risk …

Predicting crowd flows is important for traffic management and public safety, which is very
challenging as it is affected by many complex factors. In this paper, we propose a novel fine …

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 …