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Objective and Subjective Evaluation of the Interaction of Automated Vehicles and Human Drivers in Take-Over Scenarios Politecnico di Milano

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Gobbi, M. (Massimiliano), author.
Contributor:
Boscaro, Linda
De Guglielmo, Veronica
Fossati, Andrea
Galbiati, Andrea
Mastinu, Gianpiero
Mastinu, Leda
Ponti, Marco
Previati, Giorgio
Sabbioni, Edoardo
Signorini, Maria Gabriella
Somma, Antonella
Subitoni, Luca
Uccello, Lorenzo
Conference Name:
WCX SAE World Congress Experience (2025-04-08 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
The research activity aims at defining specific Operational Design Domains (ODDs) representative of Italian traffic environments. The paper focuses on the human-machine interaction in Automated Driving (AD), with a focus on take-over scenarios. The study, part of the European/Italian project "Interaction of Humans with Level 4 AVs in an Italian Environment - HL4IT", describes suitable methods to investigate the effect of the Take-Over Request (TOR) on the human driver's psychophysiological response. The DriSMI dynamic driving simulator at Politecnico di Milano has been used to analyse three different take-over situations. Participants are required to regain control of the vehicle, after a take-over request, and to navigate through a urban, suburban and highway scenario. The psychophysiological characterization of the drivers, through psychological questionnaires and physiological measures, allows for analyzing human factors in automated vehicles interactions and for contributing to advance AD technologies. Physiological signals, including electrocardiographic (ECG) and electroencephalographic (EEG) are acquired synchronously with eye-tracking and instrumented steering wheel signals throughout the entire test. The use of dynamic driving simulation enhances the study's efficacy, facilitating early-stage development insights crucial for the advancement of AD technologies
Notes:
Vendor supplied data
Publisher Number:
2025-01-8048
Access Restriction:
Restricted for use by site license

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