TY - GEN
T1 - Towards a Framework for Testing Drivers' Interaction with Partially Automated Driving
AU - van den Beukel, Arie Paul
AU - van der Voort, Mascha C.
AU - Eger, Arthur O.
PY - 2015/9/15
Y1 - 2015/9/15
N2 - Partially automated driving takes away driving control from the driver in situations which allow complete automation, but leaves final responsibility for safe driving at the human operator. Accordingly, the driver's role changes to supervision, and - occasionally - intervention. For testing required solutions to support drivers' new interaction with partially automated driving systems, this study proposes an assessment framework, aimed for application early within the development process while using driving simulation. We conclude that the assessment aspects within the envisioned framework should be three-fold, i.e. assess (a) Situation Awareness, (b) Accident Avoidance, and: (c) Acceptance. Measurement techniques to test these aspects have been defined. Moreover, six traffic scenarios have been evaluated for their successfulness in creating different levels of difficulty in understanding and solving traffic situations representative for the interaction between partial automation and drivers. While defining the required assessment aspects and confirming the scenarios' relevance, this study is an important step to establish the desired framework.
AB - Partially automated driving takes away driving control from the driver in situations which allow complete automation, but leaves final responsibility for safe driving at the human operator. Accordingly, the driver's role changes to supervision, and - occasionally - intervention. For testing required solutions to support drivers' new interaction with partially automated driving systems, this study proposes an assessment framework, aimed for application early within the development process while using driving simulation. We conclude that the assessment aspects within the envisioned framework should be three-fold, i.e. assess (a) Situation Awareness, (b) Accident Avoidance, and: (c) Acceptance. Measurement techniques to test these aspects have been defined. Moreover, six traffic scenarios have been evaluated for their successfulness in creating different levels of difficulty in understanding and solving traffic situations representative for the interaction between partial automation and drivers. While defining the required assessment aspects and confirming the scenarios' relevance, this study is an important step to establish the desired framework.
KW - METIS-315726
KW - IR-100698
U2 - 10.1109/ITSC.2015.308
DO - 10.1109/ITSC.2015.308
M3 - Conference contribution
SN - 1467365955
SP - 1902
EP - 1907
BT - IEEE 18th International Conference on IEEE
PB - IEEE
CY - Piscataway, NJ, USA
T2 - IEEE 18th International Conference on IEEE
Y2 - 15 September 2015 through 18 September 2015
ER -
