Subjective evaluation of vehicle active safety using PreScan and Simulink: Lane departure warning system as an example

Guangming Xiong, Hao Li, Zeliang Ding, Jianwei Gong, Huiyan Chen

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Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages208-213
Number of pages6
ISBN (Electronic)9781509056774
DOIs
Publication statusPublished - 25 Jul 2017
Event2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017 - Vienna, Austria
Duration: 27 Jun 201728 Jun 2017

Publication series

Name2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017

Conference

Conference2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017
Country/TerritoryAustria
CityVienna
Period27/06/1728/06/17

Keywords

  • PreScan
  • Simulink
  • active safety
  • fuzzy comprehensive evaluation
  • subjective evaluation

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Xiong, G., Li, H., Ding, Z., Gong, J., & Chen, H. (2017). Subjective evaluation of vehicle active safety using PreScan and Simulink: Lane departure warning system as an example. In 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017 (pp. 208-213). Article 7991927 (2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICVES.2017.7991927