How Human-Machine Interaction keeps pace with Automated Vehicles

A systematic review

Master thesis (2020)

Authors

S.S. Gürses Mechanical Engineering

Contributors

R. Happee Intelligent Vehicles - Mechanical, Maritime and Materials Engineering (supervisor 2)
D.D. Heikoop Transport and Planning - CEG (supervisor 1)
S. Kim Human Information Communication Design - IDE (coach)
Faculty
Mechanical Engineering
Copyright: © 2020 Sergin Gürses
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Published Date

02-07-2020

Language

English

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Faculty

Mechanical Engineering

Abstract

Human Machine Interface (HMI) is a design concept that improves the interaction between the driver and the automated vehicle, which leads to greater safety and comfort for the driver and greater safety for the road user. Therefore, many papers and patents are published every year. Many papers use different methodologies and materials due to some limitations. Finding an insight about the development of HMI in automated driving could be tough. An overview, such as a systematic review, could be used to create this insight. This paper provides a detailed systematic review, which contains 340 analysed papers and distinguishes them over 20 different categories. Results show an increasing interest in HMI for automated driving systems that reflects the common interest of the general population, an increasing interest of some levels of automation and the use of certain methodologies and materials. Lastly, several insights, caveats, and future implications are discussed.

Files

Thesis_final.pdf
(.pdf | 57.5 Mb)