The ever-increasing growth of the population and their concentration in cities has destructive
and often catastrophic effects on natural habitats and human life and exposes cities to …

In the environment of Intelligent Connected Vehicles (ICVs), the ICV system is capable of
gathering, processing, and transmitting the majority of traffic information to each vehicle …

Considering the complexity of network traffic in IoV operations, methods that can identify
complex patterns become useful. Machine learning fosters several techniques to enhance …

Objective With the rapid spread of dashcams, many car accidents have been recorded;
however, behavioral approaches using these dashcam video footage have not been …

This study examines the effectiveness of a predictive model for risky driving behavior among
young adults, focusing on psychological factors such as self-deceptive enhancement …

Driving cycle is one of the main inputs of vehicle emission modeling. However, the variability
of driving cycles due to fluctuations in weather conditions is one of the primary sources of …

The deployment of intelligent transportation is still in its early stages and there are many
challenges that need to be addressed before it can be widely adopted. Autonomous …

The proliferation of cyberattacks has emerged as a significant obstacle for advancing
technologies such as the Internet of Things (IoT) and Internet of Vehicles (IoV) in recent …

A novel LiDAR-detectable plate-like hollow black titanium dioxide (HbTiO 2) is developed by
recycling silicon sludge generated from silicon wafer sawing. By employing TiCl 4 sol-gel …

Integrated sensing and communication (ISAC) is recognized as a promising solution for
realizing sensing and communication functionalities in future vehicular networks …