Weather variability poses significant challenges to traffic management systems, impacting
road safety and transportation efficiency. In response, this chapter explores the integration of …

Urban areas face persistent challenges from traffic congestion and road safety issues,
impacting economic efficiency and public welfare. Addressing these concerns requires …

In the status quo, traffic control systems operate on predetermined patterns and instructions
devised from past data. While this method functions effectively for traffic under normal …

This work presents a concept for an innovative Digital Twin (DT) framework for urban traffic
monitoring and management, tailored for the city of Singapore. The proposed architecture …

The issue of traffic mismanagement is getting bad to worse as the trend of urbanization is
increasing and posing significant threats to the urban areas. This paper addresses this issue …

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 …

Abstract The incorporation of Artificial Intelligence algorithms in Intelligent Transportation
Systems gives rise to new opportunities for a more sustainable urban mobility. However, one …

This research introduces a novel methodology for urban traffic management by proposing
and executing a hybrid traffic management system. This system has been developed with …

The paper discusses the development of an IoT-based smart traffic system that utilizes real-
time data and machine learning algorithms to enhance traffic safety, reduce congestion, and …

Road and Weather Information System consists of a network of roadside Environmental
Sensor Stations (EES) collecting meteorological data. Equipped with a variety of sensors …