TY - GEN
T1 - Subjective evaluation of vehicle active safety using PreScan and Simulink
T2 - 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017
AU - Xiong, Guangming
AU - Li, Hao
AU - Ding, Zeliang
AU - Gong, Jianwei
AU - Chen, Huiyan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/25
Y1 - 2017/7/25
N2 - This paper aims to study on the subjective feelings of drivers when active safety technologies are used. In this paper, a complete subjective evaluation system is established taking the lane departure warning system as an example. Firstly, the evaluation index system is established and the subjective evaluation table is developed. Then the table is analyzed and tested. The result shows that the subjective evaluation index system has good measurement characteristics. Therefore, the indicators of the evaluation system are suitable for exploratory factor analysis. Secondly, in order to get the subjective feelings of drivers for the active safety technology, a co-simulation on the basis of PreScan and Simulink is designed and conducted. Finally, we use fuzzy comprehensive evaluation method to carry on the comprehensive analysis and to establish a fuzzy comprehensive evaluation model, and calculate the single weight of each evaluation index. The results show that the subjective evaluation system has a certain guiding significance and practicability for the existing active safety system.
AB - This paper aims to study on the subjective feelings of drivers when active safety technologies are used. In this paper, a complete subjective evaluation system is established taking the lane departure warning system as an example. Firstly, the evaluation index system is established and the subjective evaluation table is developed. Then the table is analyzed and tested. The result shows that the subjective evaluation index system has good measurement characteristics. Therefore, the indicators of the evaluation system are suitable for exploratory factor analysis. Secondly, in order to get the subjective feelings of drivers for the active safety technology, a co-simulation on the basis of PreScan and Simulink is designed and conducted. Finally, we use fuzzy comprehensive evaluation method to carry on the comprehensive analysis and to establish a fuzzy comprehensive evaluation model, and calculate the single weight of each evaluation index. The results show that the subjective evaluation system has a certain guiding significance and practicability for the existing active safety system.
KW - PreScan
KW - Simulink
KW - active safety
KW - fuzzy comprehensive evaluation
KW - subjective evaluation
UR - http://www.scopus.com/inward/record.url?scp=85034233200&partnerID=8YFLogxK
U2 - 10.1109/ICVES.2017.7991927
DO - 10.1109/ICVES.2017.7991927
M3 - Conference contribution
AN - SCOPUS:85034233200
T3 - 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017
SP - 208
EP - 213
BT - 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 June 2017 through 28 June 2017
ER -