Factors Influencing Driver Behavior and Advances in Monitoring Methods
Publication Name
Lecture Notes in Intelligent Transportation and Infrastructure
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.
Open Access Status
This publication is not available as open access
Volume
Part F1376
First Page
387
Last Page
414