Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …

It is undeniable that mobile devices have become an inseparable part of human's daily
routines due to the persistent growth of high-quality sensor devices, powerful computational …

This paper presents a methodology and mobile application for driver monitoring, analysis,
and recommendations based on detected unsafe driving behavior for accident prevention …

Identifying accident patterns is one of the most vital research foci of driving analysis.
Environmental or safety applications and the growing area of fleet management all benefit …

Abstract Each year, 1.35 million people are killed on the world's roads and another 20–50
million are seriously injured. Morbidity or serious injury from road traffic collisions is …

Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …

Cloud and Fog computing has emerged as a promising paradigm for the Internet of things
(IoT) and cyber–physical systems (CPS). One characteristic of CPS is the reciprocal …

Driver behavior is receiving increasing attention because of the staggering number of road
accidents. Many road safety reports regard human behavior as the most important factor in …

In the past 25 years, computer scientists and statisticians developed machine learning
algorithms capable of modeling highly nonlinear transformations and interactions of input …