火车
计算机科学
任务(项目管理)
人工神经网络
高速列车
旅客列车
样品(材料)
过程(计算)
中心性
模拟
人工智能
汽车工程
运输工程
工程类
系统工程
化学
地图学
数学
色谱法
组合数学
地理
操作系统
作者
Hang Zhao,Jianjie Chu,Rong Mo,Chen Chen,Ning Ding
出处
期刊:Journal of Intelligent and Fuzzy Systems
[IOS Press]
日期:2022-04-28
卷期号:42 (6): 5653-5665
摘要
At present, high-speed trains have become popular modern transportation. As a significant part of the high-speed train riding activity, the stowing and unloading luggage task has its characteristics. To comprehensively and reasonably evaluate passenger comfort of the stowing and unloading luggage task in high-speed trains. In this paper, passenger behavior characteristics are firstly analyzed by the author, the theoretical architecture of passenger comfort evaluation is constructed with the perspective of product aesthetics and ergonomics, and then the process of the passenger comfort evaluation is put forward. Secondly, a combination of Rough Number (RN) and Decision Making Trial and Evaluation Laboratory (DEMATEL) (i.e. R-DEMATEL) is utilized to solve the centrality degree of comfort influencing factors and determine comfort evaluation indexes. Furthermore, the passenger comfort evaluation model with Fuzzy Neural Network (FNN) is constructed and trained. After that, the sample data of the evaluation are collected through the simulated experiment of the stowing and unloading luggage task, and they are trained with FNN comparing to Back Propagation Neural Network (BPNN). Eventually, the result of examples testing is verified that the effectiveness of the proposed method.
科研通智能强力驱动
Strongly Powered by AbleSci AI