Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

Accurate and real-time taxi demand prediction can help managers pre-allocate taxi
resources in cities, which assists drivers quickly finding passengers and reduce passengers' …

As ride-hailing services become increasingly popular, being able to accurately predict
demand for such services can help operators efficiently allocate drivers to customers, and …

Transportation network companies (TNCs) offer a ride-splitting option for ridesourcing trips,
allowing users to share the vehicle with others at a lower fare. While encouraging shared …

Ride-hailing services such as Lyft, Uber, and Cabify operate through smartphone apps and
are a popular and growing mobility option in cities around the world. These companies can …

The rapid growth of data traffic due to the demands of new services and applications poses
new challenges to the wireless network. Unmanned aerial vehicles (UAVs) can be a solution …

Crowd prediction is a crucial aspect of modern society, facilitating numerous decision-
making processes, such as hazard detection and facility maintenance. Conventional crowd …

Passenger demand forecasting is of great importance to the on-demand ride systems. With
the accurate forecasting of demand, it can be determined from which regions and when the …

Various traditional methods, including statistical and spatial map-based approaches, are
employed to model spatiotemporal data. However, the lack of explicit descriptions of spatial …

In recent years, spatiotemporal data has continued to proliferate with the development of
data collecting technologies such as the Global Positioning System (GPS), the Internet of …