The proposed monitoring system is designed for congestion monitoring and traffic light management. It can also be tuned to detect traffic incidents that ...

In this study, an integrated fog and cloud computing framework is introduced to overcome the limitations of real-time analytics, latency and network congestion ...

Oct 30, 2021 · In this study, we propose an integrated fog and cloud computing framework to improve such a complex monitoring system in terms of response time ...

The smart traffic monitoring system (STMS) [12] is a traffic surveillance framework designed for monitoring traffic congestion and managing traffic lights. It ...

The paper presents the taxonomy of fog computing and an application where different artificial neural network (ANN)-based models are developed and tested on ...

The proposed approach is implemented to prototype a smart traffic monitoring system (STMS). The proposed monitoring system is designed for congestion monitoring ...

Fog computing reduces latency, enhances security, and improves bandwidth utilization by processing data closer to the source. This synergy between cloud and fog ...

Nov 3, 2020 · In this context, the literature studies exposes several architectures and frameworks that integrate simultaneously the IoT, edge, fog, cloud ...

... IoT enabled smart fog computing for vehicular traffic control. ... Internet of things-based fog and cloud computing technology for smart traffic monitoring.

Apr 21, 2022 · Fog computing is a decentralized computing paradigm that extends cloud services to the edge of the network. In this article, Fog and Cloud ...