Comfort Evaluation of an Aircraft Cabin System Employing a Hybrid Model

Liu, Jing; Yu, Shuhui; Chu, Jianjie

doi:10.3390/su12208503

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…In the case of expert research, this result reflects the general publics' opinion. This type of approach to expert research has been expressed, for example, in the works [69][70][71][72]. The 25 experts were composed of: seven representatives of electric shared mobility operators, eight representatives of local self-government officials, three representatives of SUMP experts, and seven representatives of researchers familiar with shared mobility solutions representing various academic backgrounds (technical universities, universities, and business academies).…”

Section: Methodsmentioning

confidence: 99%

A Holistic Approach to Electric Shared Mobility Systems Development—Modelling and Optimization Aspects

et al. 2020

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Due to the development of the shared economy, increasingly more shared mobility providers have launched services based on the use of electric vehicles. The increasing growth of electric shared mobility services has produced various types of problems that do not occur (or occur with a limited effect) under conventional shared mobility systems. This increase in electric shared mobility problems has led to many effects, including limitations of the system zones or going out of business. To avoid difficulties in the functioning of electric shared mobility systems, various scientific studies have been undertaken to model and optimize the operation of these systems. Modeling and optimization mainly relate to one category of the system—for example, only to bike sharing. However, to understand the system of electric shared mobility holistically, there is a need to define the criteria generally as stimulants or destimulants. Based on these assumptions, we conducted research on the identification of factors influencing the development of electric shared mobility services. We conducted our own expert research based on the Social Network Analysis method. The aim of this study was to determine the factors that influence the development or recession of services in the entire electric shared mobility market in reference to selected stakeholders. The obtained results indicate a non-standard approach to the modeling and optimization of electric shared mobility services. This study could be used as support for creating electric shared mobility models and could also be helpful for service providers or local mobility managers through the developed recommendations.

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Section: Methodsmentioning

confidence: 99%

A Holistic Approach to Electric Shared Mobility Systems Development—Modelling and Optimization Aspects

et al. 2020

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“…Cockpit comfort research is an interdisciplinary subject. The research on cockpit comfort includes aircraft cockpits [15], [16], [17], [18], [19], high-speed train cockpits [20], and indoor living environments [21], [22]. Comfort evaluation and adjustment have attracted attention in various fields.…”

Section: Introduction a Backgroundmentioning

confidence: 99%

Intelligent Car Cockpit Comfort Evaluation Model Based on SVM

Chen,

Shi,

Yang

et al. 2024

IEEE Access

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With the popularization of intelligent cars, users' understanding of the value of cars gradually changes from a travel tool to a ''third living space'', and cabin comfort is becoming a criterion for evaluating the goodness of cars. In this paper, we start from the physical environment and human-computer interaction environment that affect the comfort of the intelligent cockpit of a car and establish a comprehensive comfort evaluation model of the intelligent cockpit of a car based on the support vector machine (SVM) algorithm in machine learning by conducting experiments on the comfort evaluation of the intelligent cockpit of a car and compare it with several classical machine learning algorithms. The mean square error (MSE) of the model based on the SVM algorithm is 0.00096, and the coefficient of determination (R 2 ) reaches 0.966, which is better than several other algorithms. The results show that the established evaluation model has good generalization ability and can evaluate the comprehensive comfort of the intelligent cockpit of the car, thus helping the cockpit to make timely and accurate comfort adjustments to ensure the occupant's riding experience. This project provides a reference direction for the comprehensive evaluation of cockpit comfort, which is of great significance for the future development of intelligent cockpit comfort. In addition, the comfort model can be applied to a variety of comfort evaluation scenarios, which has great practical value.

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“…Moreover, it is worth noting that comfort studies are a popular interdisciplinary discipline. In regard to comfort studies, there are aircraft cockpits and high-speed rail cockpits ( Cui et al, 2017 ; Liping et al, 2018 ; Liu, Yu & Chu, 2020 ; Chen et al, 2020 ; Wang et al, 2021 ), and indoor living environments ( Oseland, 1995 ; Andargie, Touchie & O’Brien, 2019 ). Comfort evaluation is of interest in many areas.…”

Section: Introductionmentioning

confidence: 99%

A new method to identifying optimal adjustment strategy when the car cockpit is uncomfortable: optimal state distance method

Chen

Shi

Yang

et al. 2023

PeerJ Computer Science

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With the rapid development of the automobile industry, the comfort of the cockpit has become the standard for judging the quality of the car. People have also put forward higher requirements for cockpit comfort. In the process of driving, the cockpit environment will constantly change, and the comfort will also change. When the comprehensive comfort level of the cockpit decreases and the occupants feel uncomfortable, the cockpit comfort should be adjusted. In this article, a cockpit comfort evaluation model is established to realize the evaluation of cockpit comfort. In addition, we elaborate the theory of optimal state distance, where the numerical magnitude of the optimal state distance is used to reflect the extent to which an indicator deviates from its optimal state. Also, a cockpit optimal adjustment strategy identification model is established based on the theory, which can obtain the optimal adjustment strategy in a certain cockpit operating environment, facilitate the timely adjustment of the corresponding actuator, and realize the dynamic monitoring and adjustment of cockpit comfort. This project provides a reference direction for cockpit comfort adjustment, which is of great significance for future research and development of automotive cockpit comfort.

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Comfort Evaluation of an Aircraft Cabin System Employing a Hybrid Model

Cited by 7 publications

References 25 publications

A Holistic Approach to Electric Shared Mobility Systems Development—Modelling and Optimization Aspects

A Holistic Approach to Electric Shared Mobility Systems Development—Modelling and Optimization Aspects

Intelligent Car Cockpit Comfort Evaluation Model Based on SVM

A new method to identifying optimal adjustment strategy when the car cockpit is uncomfortable: optimal state distance method

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