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Advances, Opportunities and Challenges in AI-enabled Technologies for Autonomous and Connected Vehicles Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Factors Influencing Driver Behavior and Advances in Monitoring Methods

Authors : Shahzeb Ansari, Haiping Du, Fazel Naghdy, David Stirling

Published in: AI-enabled Technologies for Autonomous and Connected Vehicles

Publisher: Springer International Publishing

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Abstract

Monitoring driver behavior in real-time is a challenging task as there are several factors that can influence the driver to commit unpredictable mistakes while driving. These factors mainly involve inattentive driver state, absent mind, unreliable cornering, and speeding, resulting in fatal accidents. This chapter identifies the factors that affect driver behavior and performance, and provides an in-depth analysis of various deployed scientific monitoring methods and proposes solutions for early and efficient real-time monitoring of driver behavior. The chapter also reviews real-time smart detection algorithms deployed for the classification of driver state. In addition, the chapter proposes an unsupervised deep learning neural network model that can be deployed in classifying driver states and actions.

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previous chapter Driver Assistance Systems and Safety—Assessment and Challenges
next chapter Towards Learning-Based Control of Connected and Automated Vehicles: Challenges and Perspectives
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Metadata
Title
Factors Influencing Driver Behavior and Advances in Monitoring Methods
Authors
Shahzeb Ansari
Haiping Du
Fazel Naghdy
David Stirling
Copyright Year
2023
Book
AI-enabled Technologies for Autonomous and Connected Vehicles

Print ISBN: 978-3-031-06779-2

Electronic ISBN: 978-3-031-06780-8

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-06780-8_14

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