Theoretical determination of roll angular jerk of ships in irregular beam seas using PDF line integral method

Maki, Atsuo; Dostal, Leo; Maruyama, Yuuki; Sakai, Masahiro; Sugimoto, Kei; Fukumoto, Yusuke

doi:10.1007/s00773-021-00823-z

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Z. S. Chen et al (2020) proposed a fuzzy language‐based approach to discover passengers’ most important needs to improve comfort while riding high‐speed trains. Maki et al (2022) utilize the PDF Line Integral Method to analyze motion sickness or ride comfort in ships. It can be seen that comfort is very important in different fields, and the intelligent car industry is no exception.…”

Section: Introductionmentioning

confidence: 99%

A comfort evaluation method based on an intelligent car cockpit

Yang

Chen

Xing

et al. 2022

Hum Ftrs & Erg Mfg Svc

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With the rapid development of automobiles, car cockpits are becoming more and more intelligent and advanced, and the intelligent requirements of automobile cockpits are gradually increasing. However, the real value of intelligence can only be realized when it makes passengers in a cockpit feel comfortable. In this study, seven factors that affect passenger comfort in intelligent cockpits are defined. Under these factors, a total of 33 evaluation indicators were developed. The core of the method was to determine the dissatisfaction indicators and degree of dissatisfaction in the intelligent cockpit by analyzing the relationship between people's perceived performance and their expectations. This method was used to evaluate the Tesla Model 3, and it was found in the results that the higher the degree of dissatisfaction with the indicator, the more subjective feedback it had, which in turn proved the effectiveness of the model. According to the degree of dissatisfaction, the indicators affecting comfort were also divided into three levels. This hierarchical division helps clarify which indicators should be prioritized for improvement. Generally, this method has a certain feasibility, which is helpful for the development and redesign of an intelligent car cockpit, and provides some reference strategies for other transportation fields.comfort, evaluation method, expectation, intelligent cockpit, the degree of dissatisfactionWith the rapid development of technology, the number of intelligent cars has also increased in recent years (Arena et al., 2020). Related research describes the intelligent car of the future as not only improving traffic safety like a robot but also further meeting people's demands by connecting to the Internet (Huang et al., 2016;James, 2012). Intelligent vehicles have become a trend now. Companies such as Tesla, Jaguar, and Google are now launching more intelligent vehicles from innovative materials and innovative technologies (Sun et al., 2021).However, for the vast majority of consumers, it is not the technology itself that cares about them, but how they feel in the cockpit (Park et al., 2019). The benefits of intelligent cars include increased safety, reduced need for infrastructure investment, improved fuel economy, and reduced congestion. But most importantly, they make passengers more relaxed and comfortable (Jorlöv et al., 2017). The real benefits of intelligent cars can only be realized when the human driver is comfortable in the intelligent cockpit and the interaction between the driver and the automated system is at a reasonable level (Helldin et al., 2013). Beggiato et al. (2019 believe that comfort plays an important role in the wide acceptance of intelligent vehicles. For some products such as smart cars, consumer satisfaction is a factor for business success (Park et al., 2019;Salomo et al., 2003). Industry and research are working to develop systems that can automatically adapt to maximize well-being (Olugbade et al., 2021). Therefore, making people feel comfortable is

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Section: Introductionmentioning

confidence: 99%

A comfort evaluation method based on an intelligent car cockpit

Yang

Chen

Xing

et al. 2022

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

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Theoretical estimation of joint probability density function of roll angle and angular acceleration in beam seas using PDF line integral method

et al. 2022

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The broaching that follows the surf-riding is a dangerous phenomenon that can lead to the capsizing of a vessel due to its violent yaw motion. Most of the previous studies on surf-riding phenomena in irregular waves have been conducted by replacing irregular waves with regular waves. In contrast, this study provides suggestions on how to directly calculate nonlinear surge motion in irregular seas. In this study, the statistical aspects of the surfriding phenomenon are first presented. Then, under several approximations, we show how to calculate the probability density function theoretically. Although the results obtained are based on strong approximations, it is found that the nonlinear surge oscillations in irregular following seas can be explained from a qualitative point of view.

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