Bus passenger flow prediction is a critical component of advanced transportation information
system for public traffic management, control, and dispatch. With the development of artificial …

The urban road traffic flow condition prediction is a fundamental issue in the intelligent
transportation management system. While extracting the high-dimensional, nonlinear and …

In recent years, traffic congestion has become a global concern. Many researchers work on
the development of Intelligent Transportation Systems (ITS) to reduce traffic congestion and …

Forecasting the short-term speed of moving vehicles plays an important role not only in
reducing travel time, but also in saving energy and reducing air pollution. However, it still …

Traffic speed forecasting is one of the important issues in the intelligent transportation
system, which is related to traffic management planning. The existing studies tend to use …

In this paper, we propose a detrending based and deep learning based many-to-many traffic
prediction model called DeepTrend 2.0 that accepts information collected from multiple …

Traffic information prediction is one of the most essential studies for traffic research,
operation and management. The successful prediction of traffic speed is increasingly …

Short-term origin–destination (OD) flow prediction is vital for operations planning, control,
and management in urban railway systems. While the entry and exit passenger demand …

Traffic speed prediction plays a significant role in the intelligent traffic system (ITS). However,
due to the complex spatial-temporal correlations of traffic data, it is very challenging to …

The prediction of entrance and exit passenger flow of rail transit stations is one of key
research focuses in the area of intelligent transportation. Based on the big data of rail transit …