Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/103147
Title: Vehicle Automation Field Test: Impact on Driver Behavior and Trust
Authors: Morales-Alvarez, W.
Smirnov, N.
Matthes, E.
Olaverri-Monreal, C.
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Vehicle Automation Field Test: Impact on Driver Behavior and Trust / W. Morales-Alvarez, N. Smirnov, E. Matthes, et al. — DOI 10.1109/ITSC45102.2020.9294751 // 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020. — 2020. — 9294751.
Abstract: With the growing technological advances in autonomous driving, the transport industry and research community seek to determine the impact that autonomous vehicles (AV) will have on consumers, as well as identify the different factors that will influence their use. Most of the research performed so far relies on laboratory-controlled conditions using driving simulators, as they offer a safe environment for testing advanced driving assistance systems (ADAS). In this study we analyze the behavior of drivers that are placed in control of an automated vehicle in a real life driving environment. The vehicle is equipped with advanced autonomy, making driver control of the vehicle unnecessary in many scenarios, although a driver take over is possible and sometimes required. In doing so, we aim to determine the impact of such a system on the driver and their driving performance. To this end road users' behavior from naturalistic driving data is analyzed focusing on awareness and diagnosis of the road situation. Results showed that the road features determined the level of visual attention and trust in the automation. They also showed that the activities performed during the automation affected the reaction time to take over the control of the vehicle. © 2020 IEEE.
Keywords: AUTOMATION
AUTOMOBILE DRIVERS
AUTOMOBILE TESTING
AUTONOMOUS VEHICLES
BEHAVIORAL RESEARCH
INTELLIGENT SYSTEMS
ROADS AND STREETS
CONTROLLED CONDITIONS
DRIVING ASSISTANCE SYSTEMS
DRIVING ENVIRONMENT
DRIVING PERFORMANCE
RESEARCH COMMUNITIES
TECHNOLOGICAL ADVANCES
TRANSPORT INDUSTRY
VEHICLE AUTOMATIONS
ADVANCED DRIVER ASSISTANCE SYSTEMS
URI: http://hdl.handle.net/10995/103147
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85099651213
PURE ID: 20516447
96af3e1d-b224-46ba-949f-2b0448daf094
ISBN: 9781728141497
DOI: 10.1109/ITSC45102.2020.9294751
metadata.dc.description.sponsorship: This work was supported by the Austrian Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK) Endowed Professorship for Sustainable Transport Logistics 4.0.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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