| AUTOMOTIVE ENGINEERING |
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Driving comfort evaluation of passenger vehicles with natural language processing and improved AHP |
| LU Zhaolin1,2, LI Shengbo1, Schroeder Felix3, ZHOU Jichen3, CHENG Bo1 |
1. State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing 100084, China;
2. Department of Art Design, Hefei University, Hefei 230601, China;
3. Audi China Enterprise Management Co., Ltd., Beijing 100015, China |
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Abstract The driving comfort of drivers in passenger vehicles was evaluated using an ontology model for driving comfort in a human-machine-environment system. The model was then used to evaluate driving comfort with the main driving comfort description extracted and classified via user interviews based on the improved term frequency-inverse document frequency (TF-IDF) method. The words were then ranked in a hierarchical structure. The scale of nine in the traditional analytical hierarchy process (AHP) was replaced by a scale of three to improve the accuracy. The comparative judgment matrix was defined with the weight of each index calculated through a Delphi survey. The index consistency system was also tested. The reliability of this method was validated using C-class passenger vehicles. Thus, this gives an effective approach for evaluating vehicle driving comfort.
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| Keywords
passenger vehicle
driving comfort
evaluation index
analytic hierarchy process
natural language processing
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Issue Date: 15 February 2016
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2016,
Vol. 56
