The exploding usage of physical object properties has greatly facilitated real-time
applications such as robotics to perceive exactly as it appears in existence. Changes in the …

Minimizing human intervention in engines, such as traffic lights, through automatic
applications and sensors has been the focus of many studies. Thus, Deep Learning (DL) …

This chapter overviews the various techniques of emergency vehicle management system
using IoT and Artificial Intelligence (AI) technology and how emergency needs can be …

In recent years, the Internet-of-Things (IoT)-based traffic management system (ITMS) has
attracted the attention of researchers from different fields, such as the automotive industry …

Background and Objectives: As cities are develo** and the population increases
significantly, one of the most important challenges for city managers is the urban …

The unceasing growth of vehicular traffic poses daily challenges, including traffic jams,
longer travel times, financial losses, air pollution, and stress. It also hampers emergency …

This abstract explores the use of IoT and edge computing for real-time video analytics in
emergency vehicle detection within smart cities. It investigates the integration of sensor …

In this article, template-free, knowledge discovery, and correlation-based distance map**
have been applied for automated recognition of traffic sign images. Knowledge extraction by …

Résumé Grâcea l'augmentation du trafic automobile dans le monde, précisément les zones
urbaines et surtout au niveau des intersections, les solutions de gestion du trafic existantes …