Traffic in operator networks is time varying. Conventional network functions implemented by
black-boxes should satisfy the peak traffic requirement, and hence result in low resource …

Three different types of entropy weight methods (EWMs), ie, EWM-A, EWM-B, and EWM-C,
have been used by previous studies for integrating prediction models. These three methods …

Increased road traffic congestion is due to different factors, such as population and
economic growth, in different cities globally. On the other hand, many households afford …

The intersection is a bottleneck in an urban roadway network. As traffic demand increases,
there is a growing congestion problem at urban intersections. Short-term traffic flow …

Due to industrialization and the growth of transportation systems, the number of vehicles
continues to increase which causes a significant traffic jam problem especially in big cities …

Assigning traffic flow to the road network based on travel demand is an essential task in
transportation planning and management. However, accurately predicting and assigning …

An efficient and credible approach to road traffic management and prediction is a crucial
aspect in the Intelligent Transportation Systems (ITS). It can strongly influence the …

В связи с индустриализацией современного общества, ростом транспортных систем
нашей страны, увеличения определенных необходимых для развития потребностей …

Efficient management of smart transport systems requires the integration of various sensing
technologies, as well as fast processing of a high volume of heterogeneous data, in order to …

Recently, driver hypovigilance (drowsiness and fatigue) becomes one of the principal
causes of traffic crashes, it can prompt many deaths, wounds and many economic losses …