Crowd flow prediction has become a strategically important task in urban computing, which
is the prerequisite for traffic management, urban planning and public safety. However, due to …

With the accelerating pace of urban life, population movements are changing dynamically in
both space and time. However, the ensuing traffic congestion and potentially dangerous …

Crowd flow prediction plays an important role in urban management and public safety.
However, the existing prediction models still have some shortcomings in capturing spatial …

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 an essential task benefiting a wide range of applications for the
transportation system and public safety. However, it is a challenging problem due to the …

Crowd flow prediction is a vital problem for an intelligent transportation system construction
in a smart city. It plays a crucial role in traffic management and behavioral analysis, thus it …

The capability of predicting the future trends of crowds has rendered crowd flow prediction
more critical in building intelligent transportation systems, and attracted substantial research …

Accurate forecast of citywide crowd flows on flexible region partition benefits urban planning,
traffic management, and public safety. Previous research either fails to capture the complex …

Crowd flow prediction has been studied for a variety of purposes, ranging from the private
sector such as location selection of stores according to the characteristics of commercial …

Predicting urban crowd flow spatial distributions plays a critical role in optimizing urban
public safety and traffic congestion management. The spatial dependency between regions …