Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance
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 perform...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/2638474 |
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| _version_ | 1832568173120978944 |
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| author | Jianyou Zhao Jing Liu Liping Yang Ping He |
| author_facet | Jianyou Zhao Jing Liu Liping Yang Ping He |
| author_sort | Jianyou Zhao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cfe1892bc4b74e09b8413d2de5ee6c55 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-cfe1892bc4b74e09b8413d2de5ee6c552025-02-03T00:59:40ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/26384742638474Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic PerformanceJianyou Zhao0Jing Liu1Liping Yang2Ping He3School of Automobile, Chang’an University, Xi’ an 710064, ChinaSchool of Automobile, Chang’an University, Xi’ an 710064, ChinaSchool of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, ChinaSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, ChinaThis 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.http://dx.doi.org/10.1155/2018/2638474 |
| spellingShingle | Jianyou Zhao Jing Liu Liping Yang Ping He Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance Journal of Advanced Transportation |
| title | Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance |
| title_full | Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance |
| title_fullStr | Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance |
| title_full_unstemmed | Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance |
| title_short | Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance |
| title_sort | exploring the relationships between subjective evaluations and objective metrics of vehicle dynamic performance |
| url | http://dx.doi.org/10.1155/2018/2638474 |
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