TY - GEN
T1 - Research on Drivers’ Cognitive Level at Different Self-explaining Intersections
AU - Wang, Wuhong
AU - Hou, Shanyi
AU - Jiang, Xiaobei
AU - Cheng, Qian
N1 - Publisher Copyright:
© 2020, Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
N2 - One demand for road is the ensurance of self-explaining, under which means road users can make correct subjective classifications and expectations of road environment. Based on quantification of driver’s driving cognitive behavior and the self- explaining road theory, this paper designs road environments with different self-interpretation levels as experimental scenes. Through a driving simulation experiment, the changing process of driver’s cognitive workload level is simulated based on Hidden Markov Model. The Hidden Markov Model identifies the driving intention under the combined working conditions, thereby judging driving awareness of the road environment, and evaluating the self-interpretation level of each experimental scene.
AB - One demand for road is the ensurance of self-explaining, under which means road users can make correct subjective classifications and expectations of road environment. Based on quantification of driver’s driving cognitive behavior and the self- explaining road theory, this paper designs road environments with different self-interpretation levels as experimental scenes. Through a driving simulation experiment, the changing process of driver’s cognitive workload level is simulated based on Hidden Markov Model. The Hidden Markov Model identifies the driving intention under the combined working conditions, thereby judging driving awareness of the road environment, and evaluating the self-interpretation level of each experimental scene.
KW - Double HMM
KW - Drivers’ cognitive level
KW - Self-interpretation feature
KW - Urban road intersection
UR - http://www.scopus.com/inward/record.url?scp=85083082394&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-0644-4_64
DO - 10.1007/978-981-15-0644-4_64
M3 - Conference contribution
AN - SCOPUS:85083082394
SN - 9789811506437
T3 - Lecture Notes in Electrical Engineering
SP - 827
EP - 835
BT - Green, Smart and Connected Transportation Systems - Proceedings of the 9th International Conference on Green Intelligent Transportation Systems and Safety, 2018
A2 - Wang, Wuhong
A2 - Jiang, Xiaobei
A2 - Jiang, Xiaobei
A2 - Baumann, Martin
PB - Springer
T2 - 9th International Conference on Green Intelligent Transportation Systems and Safety, 2018
Y2 - 1 July 2018 through 3 July 2018
ER -