TY - GEN
T1 - Changing the Perspective
T2 - 34th IEEE Intelligent Vehicles Symposium, IV 2023
AU - Karakaya, Burak
AU - Bengler, Klaus
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - A mixed traffic consisting of manual and automated vehicles will be part of reality in the near future. Vehicles of higher automation levels, which will have the ability to perform minimal risk maneuvers, will also participate in this traffic. Previous research in this area has focused on the interaction within the automated vehicle and a change of perspective was therefore carried out in this study. Three different maneuvers were evaluated from two perspectives of the surrounding traffic with regard to their controllability. A new method was used to evaluate the driving performance individually. The results of the driving simulator study with 35 participants show that an MRM in the form of a lane change coupled with a standstill on the shoulder lane is the most controllable. The results are consistent from both investigated perspectives.
AB - A mixed traffic consisting of manual and automated vehicles will be part of reality in the near future. Vehicles of higher automation levels, which will have the ability to perform minimal risk maneuvers, will also participate in this traffic. Previous research in this area has focused on the interaction within the automated vehicle and a change of perspective was therefore carried out in this study. Three different maneuvers were evaluated from two perspectives of the surrounding traffic with regard to their controllability. A new method was used to evaluate the driving performance individually. The results of the driving simulator study with 35 participants show that an MRM in the form of a lane change coupled with a standstill on the shoulder lane is the most controllable. The results are consistent from both investigated perspectives.
KW - controllability
KW - driver behavior
KW - minimal risk maneuver
KW - naturalistic driving study
UR - http://www.scopus.com/inward/record.url?scp=85168001747&partnerID=8YFLogxK
U2 - 10.1109/IV55152.2023.10186745
DO - 10.1109/IV55152.2023.10186745
M3 - Conference contribution
AN - SCOPUS:85168001747
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
BT - IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 June 2023 through 7 June 2023
ER -