On the design of a Fog computing-based, driving behaviour monitoring framework

TL;DR

This paper proposes a Fog computing-based framework for monitoring driving behavior, leveraging 5G and IoT to improve understanding of driver safety factors and potentially reduce traffic incidents.

Contribution

It introduces a novel high-level architecture and prototype for a driving behavior monitoring system utilizing Fog computing, 5G, and IoT technologies.

Findings

Outlined fundamental attributes of Fog computing for this application

Developed a high-level architecture blueprint

Implemented a prototype system

Abstract

Recent technological improvements in vehicle manufacturing may greatly improve safety however, the individuals' driving behaviour still remains a factor of paramount importance with aggressiveness, lack of focus and carelessness being the main cause of the majority of traffic incidents. The imminent deployment of 5G networking infrastructure, paired with the advent of Fog computing and the establishment of the Internet of Things (IoT) as a reliable and cost-effective service delivery framework may provide the means for the deployment of an accurate driving monitoring solution which could be utilized to further understand the underlying reasons of peculiar road behaviour, as well as its correlation to the driver's physiological state, the vehicle condition and certain environmental parameters. This paper presents some of the fundamental attributes of Fog computing along with the functional requirements of a driving behaviour monitoring framework, followed by its high level architecture blueprint and the description of the prototype implementation process.