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Journal of Advanced Transportation
Volume 2018, Article ID 2638474, 10 pages
https://doi.org/10.1155/2018/2638474
Research Article

Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance

1School of Automobile, Chang’an University, Xi’ an 710064, China
2School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China
3School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, China

Correspondence should be addressed to Liping Yang; moc.361@6963gnipilgnay

Received 25 April 2018; Accepted 3 September 2018; Published 19 September 2018

Academic Editor: Juan C. Cano

Copyright © 2018 Jianyou Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study explored the relationships between subjective evaluations and objective metrics of vehicle dynamic performance. First, a real vehicle test was performed to measure the acceleration performance under different conditions, and participants’ subjective evaluations of the acceleration performance were investigated. Second, correlation analysis was conducted to explore relationships between each subjective evaluation and its corresponding objective metric as well as between the overall subjective evaluation and three individual subjective evaluations. Finally, an overall subjective evaluation model related to the three objective metrics was established based on the Probabilistic Neural Network (PNN). The analysis results demonstrated that the correlation coefficients of the three groups of data were greater than 0.5 and that each subjective evaluation was significantly correlated with its corresponding objective metric. The individual subjective evaluation of the climbing acceleration performance had the largest effect on the overall subjective evaluation, with a correlation coefficient of 0.47. The established overall subjective evaluation model was relatively reliable, with a prediction accuracy of 90%. This study furthered the existing knowledge of the methods for evaluating vehicle dynamic performance. The proposed overall subjective evaluation model improves the reliability of vehicle dynamic evaluations and offers a theoretical basis for vehicle manufacturers to improve automobile performance.