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Erschienen in:
Modelling Human Factors for Advanced Driving Assistance System Design Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Driver Distraction and Advanced Vehicle Assistive Systems (ADAS): Investigating Effects on Driver Behavior

verfasst von : David M. Cades, Caroline Crump, Benjamin D. Lester, Douglas Young

Erschienen in: Advances in Human Aspects of Transportation

Verlag: Springer International Publishing

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Abstract

The component technologies of Advanced Driver Assistive Systems (ADAS) are becoming increasingly automated, with systems capable of operating in concert in multiple driving environments. However, how these systems affect a driver’s ability to safely, efficiently, and comfortably operate a vehicle remains unclear. We investigated the effects of ADAS [specifically Lane Departure Warning (LDW)] on driving performance while participants performed a secondary task (mental math) designed to simulate cognitive effort while driving. The experiment was conducted on a closed-course test track in an instrumented vehicle. Results suggest that cognitive engagement influenced driver control of the vehicle. Effects of cognitive engagement in a secondary task were not mitigated by the presence of LDW. We discuss our results in the framework of a continued need for active input and control from the human operator in vehicles with assistive technologies.

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Vorheriges Kapitel Development and Trial of an Item Set for Testing Traffic Perception and Hazard Avoidance
Nächstes Kapitel Generating a Lane-Specific Transportation Network Based on Floating-Car Data
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Metadaten
Titel
Driver Distraction and Advanced Vehicle Assistive Systems (ADAS): Investigating Effects on Driver Behavior
verfasst von
David M. Cades
Caroline Crump
Benjamin D. Lester
Douglas Young
Copyright-Jahr
2017
Buch
Advances in Human Aspects of Transportation

Print ISBN: 978-3-319-41681-6

Electronic ISBN: 978-3-319-41682-3

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-41682-3_83