The increasing population across the globe makes it essential to link smart and sustainable
city planning with the logistics of transporting people and goods, which will significantly …

Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …

Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …

The number of Connected and Autonomous Vehicles (CAVs) is increasing rapidly in various
smart transportation services and applications, considering many benefits to society, people …

Mobile crowdsensing (MCS) refers to a group of mobile users utilizing their sensing devices
to accomplish the same sensing task. However, in vehicular networks, how to evaluate the …

Traffic sign recognition is a crucial aspect of autonomous vehicle research, and deep
learning techniques have significantly contributed to its progress. Nevertheless, the …

In recent years researchers have shown significant interest in vehicular networks to augment
road safety by providing real-time messaging services among vehicles. This work aims to …

The automotive industry is increasingly focusing on autonomous vehicles, leading to a need
for intelligent systems that enable safe and efficient self-driving. Fog computing is a …

Vehicular cloud computing (VCC) is a network architecture that allows a group of entities (ie,
vehicles/roadside infrastructures) to share their resources with other entities. Task delivery in …

The Internet is evolving, and data is a critical component of today's Internet. People are more
interested in data than data location. An information‐centric network (ICN) uses this idea …