TY - GEN
T1 - Inferring driver intentions using a driver model based on queuing network
AU - Bi, Luzheng
AU - Yang, Xuerui
AU - Wang, Cuie
PY - 2013
Y1 - 2013
N2 - Inferring driver intentions plays an important role in developing human-centric intelligent driver assistance systems. In this paper, we propose a method of inferring the lane-changing intention of drivers by using a driver model based on the queuing network (QN) cognitive architecture. Driver behavior data associated with a range of possible driver intentions are simulated by using the QN-based driver model previously validated. The intentions of drivers are deduced by comparing these sets of simulated behavior data with the collected behavior data of drivers. The experimental results in a driving simulator show that the method can infer typical and rapid lane-changing intention of drivers well.
AB - Inferring driver intentions plays an important role in developing human-centric intelligent driver assistance systems. In this paper, we propose a method of inferring the lane-changing intention of drivers by using a driver model based on the queuing network (QN) cognitive architecture. Driver behavior data associated with a range of possible driver intentions are simulated by using the QN-based driver model previously validated. The intentions of drivers are deduced by comparing these sets of simulated behavior data with the collected behavior data of drivers. The experimental results in a driving simulator show that the method can infer typical and rapid lane-changing intention of drivers well.
UR - http://www.scopus.com/inward/record.url?scp=84892379892&partnerID=8YFLogxK
U2 - 10.1109/IVS.2013.6629660
DO - 10.1109/IVS.2013.6629660
M3 - Conference contribution
AN - SCOPUS:84892379892
SN - 9781467327558
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1387
EP - 1391
BT - 2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
T2 - 2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
Y2 - 23 June 2013 through 26 June 2013
ER -