In the intelligent transportation system (ITS), speed prediction plays a significant role in
supporting vehicle routing and traffic guidance. Recently, a considerable amount of research …

Traffic prediction is an important management tool for traffic guidance and control and an
effective decision-making tool to help travelers plan routes and avoid congested road …

With the development of intelligent transportation system (ITS) and vehicle to X (V2X), the
connected vehicle is capable of sensing a great deal of useful traffic information, such as …

Deep belief networks (DBNs) with outstanding advantages of learning input data features
have attained particular attention and are applied widely in image processing, speech …

Urban road travel time estimation and prediction on a citywide scale is a necessary and
important task for recommending optimal travel paths. However, this problem has not yet …

With the advent of the Internet of Things (IoT), it has become possible to have a variety of
data sets generated through numerous types of sensors deployed across large urban areas …

Benefiting from the application of vehicle communication networks and new technologies,
such as connected vehicles, video monitoring, automated vehicles and vehicle–road …

Forecasting user flows on transportation networks is a fundamental task for Intelligent
Transport Systems (ITSs). Indeed, most control and management strategies on …

Traffic congestion is a vital factor hindering travel. As such, developing a reliable traffic
congestion early warning system is essential for providing traffic condition supervision and …

In order to improve the performance of predictive energy management strategies (PEMS), a
novel neural network based vehicle velocity prediction strategy (NN-VVP) was proposed …