Traffic congestion is a persistent global challenge that has detrimental effects on
productivity, economies, and the environment. This article explores image detection …

Intelligent transport systems imply the application of modern information, communication,
and sensor systems in order to increase traffic safety and the quality of transport and travel …

For decades, the optimization of traffic congestion problem has presented a significant issue
for the transportation field. The continuous increase in the number of vehicles and the …

This review encapsulates the transformative potential of integrating the Internet of Things
(IoT) and Reinforcement Learning (RL) in devising a Smart Traffic Operation System for …

City zones have become increasingly overcrowded as a result of the extensive population
widening ratio and the swift relocation of people from villages. The traffic monitoring process …

Abstract The project titled" Predictive Methods and Data Pattern Analysis for Reducing Car
Plate Theft" seeks to provide innovative solutions to combat car plate theft. The project …

The most pressing issue with ITS is minimal latency in communication between vehicles,
especially given that unstable traffic flow and road safety are two of their main concerns …

The study included survey of signal-controlled pedestrian crossings throughout the whole
city of Rostov-on-Don, a geoinformation model was built, field surveys of pedestrian traffic …

In the modern world, man and the transport system are inextricably linked, interacting
through innovative, modern information technologies. The development of intelligent …

In recent years, the multi-agent pathfinding problem has gained significant attention in the
field of artificial intelligence research. The problem involves selecting the optimal path for …