Taxi-calling apps are gaining increasing popularity for their efficiency in dispatching idle
taxis to passengers in need. To precisely balance the supply and the demand of taxis, online …

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 app-based ride-hailing services have been widely adopted within existing traditional taxi
markets, researchers have been devoted to understand the important factors that influence …

Taxi demand prediction is valuable for the decision-making of online taxi-hailing platforms.
Data-driven deep learning approaches have been widely utilized in this area, and many …

Taxi demand can be divided into pick-up demand and drop-off demand, which are firmly
related to human's travel habits. Accurately predicting taxi demand is of great significance to …

The world has seen in recent years great successes in applying deep learning (DL) for many
application domains. Though powerful, DL is not easy to be used well. In this invited paper …

Taxi demand prediction plays a significant role in assisting the pre-allocation of taxi
resources to avoid mismatches between demand and service, particularly in the era of the …

Taxi demand prediction is an important building block to enabling intelligent transportation
systems in a smart city. An accurate prediction model can help the city pre-allocate …

The accurate prediction of online taxi-hailing demand is challenging but of significant value
in the development of the intelligent transportation system. This article focuses on large …

Taxi demand prediction has recently attracted increasing research interest due to its huge
potential application in large-scale intelligent transportation systems. However, most of the …