The Subjective Evaluation of Vehicle Active Safety with PreScan and Simulink: Lane Departure Systems As an Example

Guangming Xiong1, Hao Li1

  • 1Beijing Institute of Technology

Details

16:46 - 17:04 | Wed 28 Jun | | WeDPl.3

Session: Naturalistic Driving and Data Mining

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.