Driving comfort evaluation of passenger vehicles with natural language processing and improved AHP

LU Zhaolin; LI Shengbo; Schroeder Felix; ZHOU Jichen; CHENG Bo

doi:10.16511/j.cnki.qhdxxb.2016.22.004

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Journal of Tsinghua University(Science and Technology) ›› 2016, Vol. 56 ›› Issue (2) : 137-143. DOI: 10.16511/j.cnki.qhdxxb.2016.22.004

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Driving comfort evaluation of passenger vehicles with natural language processing and improved AHP

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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.

Key words

passenger vehicle / driving comfort / evaluation index / analytic hierarchy process / natural language processing

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LU Zhaolin, LI Shengbo, Schroeder Felix, ZHOU Jichen, CHENG Bo. Driving comfort evaluation of passenger vehicles with natural language processing and improved AHP[J]. Journal of Tsinghua University(Science and Technology). 2016, 56(2): 137-143 https://doi.org/10.16511/j.cnki.qhdxxb.2016.22.004

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