Traffic flow decomposition is an alternative method to explore the composition of traffic flow
and improve prediction accuracy. However, most of them suffer from the inability to fully …

In this paper, we study the problem of traffic forecasting, which aims to predict the future
traffic state of the road network. One key challenge is that the previous approaches lack …

Numerous studies employ multi-scale decomposition to improve the prediction performance
of neural networks, but the grounds for selecting the decomposition algorithm are not …

Accurate and efficient lane-level traffic flow prediction is a challenging issue in the
framework of the connected automated vehicle highway system. However, most existing …

Travel time on a route varies substantially by time of day and from day to day. It is critical to
understand to what extent this variation is correlated with various factors, such as weather …

Accurate traffic flow prediction can provide sufficient information for the formation of
symmetric traffic flow. To overcome the problem that the basic fruit fly optimization algorithm …

The proportion of rear-end crashes is the highest for expressways. An effective ways to
reduce the rear-end crash risk is Active Traffic Management (ATM), and knowing the …

Considering the spatial and temporal correlation of traffic flow data is essential to improve
the accuracy of traffic flow prediction. This paper proposes a traffic flow prediction model …

Accurately predicting the highway traffic speed can reduce traffic accidents and transit time,
and it also provides valuable reference data for traffic control in advance. Three essential …

The development of metro systems can be a good solution to many problems in urban
transport and promote sustainable urban development. A metro system plays an important …