The rise in traffic congestion has become a significant concern in the urban city environment.
The conventional traffic control systems with inefficient human resources management fail to …

The rapid development of urban cities coupled with the rise in population has led to an
exponentially growing number of vehicles on the roads for the latter to commute. This is …

Traffic Clog is the main issue of the fast and evolving world. Due to the rise in the use of
more private vehicles and low road network capacity managing traffic with the traditional …

Congestion of traffic is a key problem faced in a majority of metro cities, especially in the
developing world. Traffic congestion comprises of queues, reduced speeds, and increased …

Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

Authorities in modern cities are facing daily challenges related to traffic control. Due to the
problem complexity caused by the urbanization growth, investing in developing traffic signal …

Intelligent traffic control at signalized intersections in urban areas is vital for mitigating
congestion and ensuring sustainable traffic operations. Poor traffic management at road …

Traffic management is improved in cutting-edge smart cities using technologies such as
machine learning and deep learning to streamline daily tasks and boost productivity …

Traffic control optimization is a challenging task for various traffic centers around the world
and the majority of existing approaches focus only on developing adaptive methods for …

Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …