A Subjective Evaluation System for High-Speed Trains Ride Comfort

被引：5

作者：

Yang, Zhongliang ^{[1
]}

Chen, Yumiao ^{[2
]}

Tang, Zhichuan ^{[3
]}

Zhang, Nan ^{[3
]}

机构：

[1] Donghua Univ, Coll Mech Engn, Shanghai, Peoples R China

[2] Donghua Univ, Fash Art Design Inst, Shanghai, Peoples R China

[3] Zhejiang Univ, Modern Ind Design Inst, Hangzhou 310003, Zhejiang, Peoples R China

来源：

2013 SIXTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2 | 2013年

关键词：

ride comfort; subjective evaluation; computational model; high-speed trains; AUTOMOBILE SEAT COMFORT; DRIVER SITTING COMFORT; DISCOMFORT; WORKLOAD;

D O I：

10.1109/ISCID.2013.136

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There is no uniform ride comfort evaluation method of high-speed trains in current research. This study presented a model to evaluate subjective comfort depending on 6 influence factors of ride comfort. Based on NASA-TLX, a train ride comfort index was developed and used to collect data from participants. Weights of each factors and comfort scores were calculated by multi-dimensional overall comfort algorithm. Experimental results show that reliability and validity of the TRCX was acceptable, ensuring effective input variables of the model. Based on these findings, a subjective evaluation software system of trains ride comfort was developed to demonstrate the usability in practical application.

引用

页码：88 / 91

页数：4

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