Construction of Driving Experience Evaluation Indexes for Intelligent Parking Assist Systems
Aiming at the current industry issue of inadequate testing and evaluation indexes for the driving experience of intelligent parking assist system users,the paper proposes both subjective and objective evaluation indexes for driving experience.These indexes are experimentally validated and analyzed for correlation.Firstly,based on the functional logic of the intelligent parking assist system,a driving experience closed-loop control system is established.Subsequently,combined with the closed-loop system,the subjective evaluation index system is constructed using the experience ladder pyramid model.Then,the objective indexes are developed by using the GSM model.Finally,real-vehicle tests were conducted on seven car models and analysis was performed using Pearson correlation coefficients.The test results show that the proposed evaluation indexes are suitable for assessing the driving experience,with all subjective and objective correlation coefficients above 0.5,which provides guidance for the design and evaluation of intelligent parking assist systems.