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 …

Internet of Things (IoT) is basically the concept and terminology of vehicular communications
for Vehicles are becoming increasingly available in the literature. Applications for these are …

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 …

Many classic control approaches have already proved their merits in the automotive
industry. Model predictive control (MPC) is one of the most commonly used methods …

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 …

Traffic congestion has been a hot topic of research in the field of intelligent transportation,
which can be alleviated by efficient route navigation. Most of the existing route planning …

With increasing traffic in urban areas, it is crucial to examine strategies to reduce traffic
network congestion. Popular navigation policies currently tend to select the fastest path …

A number of models have been developed to predict the spreads of the COVID-19 pandemic
and how non-pharmaceutical interventions (NPIs) such as social distancing, facial …

Autonomous Vehicle applications are full of open challenges. Despite the advanced
technologies, the lack of robust systems still exists due to the high complexity of the …

Nowadays, image processing and deep learning is used in industrial and non-industrial
areas. Addition to this, smart cities are very popular trend for the researchers and r&d …