Artificial Intelligence (AI) technology is extensively applied in all walks of life with continuous
acceleration of the construction of smart cities. The current research status of intelligent …

Due to the increasing use of automobiles, the transportation industry is facing challenges of
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …

For facing of the problems caused by the YOLOv4 algorithm's insensitivity to small objects
and low detection precision in traffic light detection and recognition, the Improved YOLOv4 …

Introduction Advanced traffic monitoring systems face significant challenges in vehicle
detection and classification. Conventional methods often require substantial computational …

Ransomware presents a significant threat to the security and integrity of cryptocurrency
transactions. This research paper explores the intricacies of ransomware detection in …

Currently, traffic signal control (TSC) methods based on reinforcement learning (RL) have
proven superior to traditional methods. However, most RL methods face difficulties when …

In this paper, we present a brief review of the most prevalent computer vision–based traffic
signal recognition studies in the literature. Based on the adopted computer vision …

One of the major contributors of human-made greenhouse gases (GHG) namely carbon
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …

Car congestion is a pressing issue for everyone on the planet. Car congestion can be
caused by accidents, traffic lights, rapid accelerations, deceleration, and hesitation of …

A dataset of street light images is presented. Our dataset consists of∼ 350 k images, taken
from 140 UMBRELLA nodes installed in the South Gloucestershire region in the UK. Each …