Print Email Facebook Twitter An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures Title An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures Author Farah, H. (TU Delft Transport and Planning) Bhusari, Shubham (Royal HaskoningDHV) van Gent, P. (TU Delft Transport and Planning) Mullakkal-Babu, F.A. (Siemens PLM Software) Morsink, Peter (Royal HaskoningDHV) Happee, R. (TU Delft Intelligent Vehicles) van Arem, B. (TU Delft Transport and Planning) Date 2020 Abstract Lower levels of automation are designed to work in specific conditions referred to as the Operational Design Domain (ODD). Beyond these conditions, the human driver is expected to take control. A mismatch between a driver's understanding and expectations of the automated vehicle capabilities and its actual capabilities as prescribed in the Original Equipment Manufacturers (OEMs) manual, could affect their safety and trust in automation. The main aim of this study is to develop a method for assessing the ODD of lane keeping system equipped vehicles. The analysis method is composed of an objective driving risk measure based on the Probabilistic Driving Risk Field (PDRF), and a subjective risk measure based on driver behavior, trust and situation awareness. We demonstrate the method applicability using the Automated Lane Keeping system of the Tesla Model S. A field test was conducted with 19 participants on public roads in the Netherlands including situations within and outside the defined ODD by the OEM. Across all test situations, a mismatch was observed between the ODD specified by the OEM and by the driver. Situations outside the ODD (i.e. no-lane markings and on/off-ramp) were often regarded as within the ODD by the participants. Situations inside the ODD (i.e. tunnel and curve) were mostly correctly classified by the participants. This analysis method has the potential to aid OEMs and road operators in defining more clearly the ODD while taking into account the driver's safety and awareness of the system capabilities. Subject Automated vehiclesfield testlane keeping assistance systemsoperational design domainrisk analysis To reference this document use: http://resolver.tudelft.nl/uuid:1d72f944-a5cc-4e24-bf62-ff18f2f49db3 DOI https://doi.org/10.1109/TITS.2020.2969928 Embargo date 2020-08-03 ISSN 1524-9050 Source IEEE Transactions on Intelligent Transportation Systems, 22 (2021) (5), 2589-2598 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2020 H. Farah, Shubham Bhusari, P. van Gent, F.A. Mullakkal-Babu, Peter Morsink, R. Happee, B. van Arem Files PDF 08979188.pdf 3.36 MB Close viewer /islandora/object/uuid:1d72f944-a5cc-4e24-bf62-ff18f2f49db3/datastream/OBJ/view