Traffic estimation is imperative for conducting fundamental transportation engineering tasks
such as transportation planning and traffic safety studies. Additionally, traffic prediction is …

Both road users and road administrators are keen to know traffic flow of fine-grained vehicle
type. Successful prediction on the traffic flow of heavy, medium and small vehicle could …

In the context of the booming Internet of Vehicles, predicting vehicle trajectories is crucial for
intelligent transportation systems. Existing methods, reliant on sensor data and behavior …

Adaptive traffic signals equipped with sensors are becoming increasingly important in
enhancing the efficiency of existing transportation networks. Machine learning techniques …

This article explores a novel data-driven approach based on recent developments in
Koopman operator theory and dynamic mode decomposition (DMD) for modeling signalized …

The real-time intelligent perception and prediction of traffic situation can assist connected
automated vehicles (CAVs) in path planning and reduce traffic congestion in Cognitive …

Traffic flow prediction has been essential for traffic management and road network
planning. However, the complex urban road network and the strong spatialtemporal …

Timely and accurate traffic flow information is essential for the realization of intelligent
transportation systems (ITS). For the existing traffic flow prediction models, only the temporal …

Traffic conditions of truck flow is one of the critical factors influencing transportation safety
and efficiency, which is directly related to traffic accidents, maintenance scheduling, traffic …

In order to promote travel safety and efficiency, many management staff are engaged to
provide service to avoid long queues. Those manpower demands unavoidably introduce …