TY - GEN
T1 - Model predictive control-based drive assist control in Electric vehicle - An application to inter distance control considering human model
AU - Okuyama, Yuji
AU - Murakami, Toshiyuki
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Traffic accidents have become social trouble along with the increase in drivers and diversification. In traffic accidents the rear-end collision includes the risk of severe injury. About 30 percent of the cause of traffic accidents is the collision accidents. Therefore, this paper proposes two methods to control the vehicle. One is the safe and comfortable inter-vehicular distance control considering the cut-out and the cut-in with force sensory accelerator and brake pedal. This inter-vehicular distance control is used model predictive control-based three evaluation indexes. To prompt proper pedal operation, force sensory pedal motor generates pedal assist torque. The other is driver behavior model presented in quantification the driver's acknowledgment. To achieve this, evaluation index based on the visual acknowledgment information of drivers is used. Driving simulator experiment results are shown to verify the effect of the proposed method.
AB - Traffic accidents have become social trouble along with the increase in drivers and diversification. In traffic accidents the rear-end collision includes the risk of severe injury. About 30 percent of the cause of traffic accidents is the collision accidents. Therefore, this paper proposes two methods to control the vehicle. One is the safe and comfortable inter-vehicular distance control considering the cut-out and the cut-in with force sensory accelerator and brake pedal. This inter-vehicular distance control is used model predictive control-based three evaluation indexes. To prompt proper pedal operation, force sensory pedal motor generates pedal assist torque. The other is driver behavior model presented in quantification the driver's acknowledgment. To achieve this, evaluation index based on the visual acknowledgment information of drivers is used. Driving simulator experiment results are shown to verify the effect of the proposed method.
KW - Cut-in
KW - Cut-out
KW - Driver Behavior Model
KW - Electric Vehicle
KW - Force Sensory Pedal
KW - Inter-vehicular Distance Control
KW - Model Predictive Control
UR - http://www.scopus.com/inward/record.url?scp=84874480241&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874480241&partnerID=8YFLogxK
U2 - 10.1109/MECATRONICS.2012.6451002
DO - 10.1109/MECATRONICS.2012.6451002
M3 - Conference contribution
AN - SCOPUS:84874480241
SN - 9781467347716
T3 - 2012 9th France-Japan and 7th Europe-Asia Congress on Mechatronics, MECATRONICS 2012 / 13th International Workshop on Research and Education in Mechatronics, REM 2012
SP - 153
EP - 160
BT - 2012 9th France-Japan and 7th Europe-Asia Congress on Mechatronics, MECATRONICS 2012 / 13th International Workshop on Research and Education in Mechatronics, REM 2012
T2 - Joint 2012 9th France-Japan and 7th Europe-Asia Congress on Mechatronics, MECATRONICS 2012 and 13th International Workshop on Research and Education in Mechatronics, REM 2012
Y2 - 21 November 2012 through 23 November 2012
ER -
