In this paper the various driving style analysis solutions are investigated. An in-depth
investigation is performed to identify the relevant machine learning and artificial intelligence …

Current research and development in recognizing and predicting driving behaviors plays an
important role in the development of Advanced Driver Assistance Systems (ADAS). For this …

Driver behavior monitoring system as Intelligent Transportation Systems (ITS) have been
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …

The ability to accurately predict and simulate human driving behavior is critical for the
development of intelligent transportation systems. Traditional modeling methods have …

The validity of any traffic simulation model depends on its ability to generate representative
driver acceleration profiles. This paper studies the effectiveness of recurrent neural networks …

An open problem in autonomous vehicle safety validation is building reliable models of
human driving behavior in simulation. This work presents an approach to learn neural …

The present study introduces a novel methodology for fault detection and diagnosis (FDD),
based on a combined approach of data and process knowledge driven techniques. The …

This article introduces a novel approach towards the recognition of typical driving
maneuvers in structured highway scenarios and shows some key benefits of traffic scene …

In recent years, modeling and recognizing driver behavior have become crucial to
understanding intelligence transport systems, human‐vehicle systems, and intelligent …

Drawing upon fundamental research in human behavior prediction, recently there has been
a research focus on how to predict driver behaviors. In this paper we review the field of …