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 …

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 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 …

In this study, the concept of symmetry is employed to implement an intelligent fuzzy traffic
signal control system for complex intersections. This approach suggests that the …

In this study, the authors conducted an analysis of the quality of fiber optic network
maintenance based on attenuation value and maintenance time using fuzzy Mamdani logic …

Community involvement is critical in preventing virus outbreaks, notably through adherence
to health measures such as physical distancing. This work proposes an automatic warning …

The chicken meat supply chain in Indonesia is fraught with halal risks due to a large number
of involved actors. Unhandled halal risks can lead to problems that chicken status changes …

abstract The significance of intelligent transportation systems and artificial intelligence in
road transportation networks has made the prediction of traffic flow a subject of discussion …