As the global population grows, and urbanization becomes more prevalent, cities often
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …

The Fourth Industrial Revolution (4IR) has ushered in a new era of efficiency across various
domains, including the management of Road Traffic Congestion (RTC) in metropolitan cities …

Traffic congestion has become a critical issue in metropolitan areas, inflicting significant
hardships on individuals on a daily basis. This adverse situation poses multifaceted …

Smart cities aim to efficiently address the challenges posed by urbanization, energy
consumption, environmental sustainability, and improvement of living standards. The …

Objectives: This research work focuses on predicting traffic for the Smart City. Methods:
Current research methods for traffic prediction are based on machine learning (ML) model …

This study presents an innovative approach for smart traffic monitoring and detection using
Tinkercad. Tinkercad is a web-based 3D modelling tool that allows users to create 3D …

In the face of escalating urban traffic congestion and inadequate public transportation
efficiency, this study introduces a pioneering solution by merging Reinforcement Learning …

The world is currently experiencing an unseen increase in the number of vehicles on the
road, and our traffic control systems have been struggling to keep up with this rapid growth …

In highway bridge engineering, it is essential to use modern image processing methods to
effectively detect and classify road bumps and potholes, considering the unique …

The worldwide impact of COVID-19 necessitates accurate forecasting for informed decision-
making by governments and health entities. This study proposes neural network …