The COVID-19 pandemic is a significant public health problem and the leading cause of reduction in the demand and supply of public transit in the last three years. It has caused an …
The accurate and effective prediction of the traffic flow of vehicles plays a significant role in the construction and planning of signalized road intersections. The application of artificially …
In recent years, an increasing number of models and algorithms based on time series prediction and machine learning have been applied to traffic flow prediction, with good …
The significance of intelligent transportation systems and artificial intelligence in road transportation networks has made the prediction of traffic flow a subject of discussion among …
The tremendous increase in vehicular navigation often witnessed daily has elicited constant and continuous traffic congestion at signalized road intersections. This study focuses on …
In the last decades, the Italian road transport system has been characterized by severe and consistent traffic congestion and in particular Rome is one of the Italian cities most affected …
In the last two decades the efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections and it is among the many …
The public transportation system is significant in increasing the efficiency of urban mobility in metropolitan cities, especially when transportation infrastructures are involved. The primary …
In the last few years, there has been a significant rise in the number of private vehicles ownership, migration of people from rural areas to urban cities, and the rise in the number of …