Yoshihiko TABUCHI’s research while affiliated with The University of Tokyo and other places

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Publications (7)


Interior Lighting in Railways Vehicles for Creating a Private Sphere
  • Article

October 2024

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22 Reads

Journal of Science and Technology in Lighting

Masatoshi Nishikawa

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Kaori Yano

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In Japan, various efforts are being made to create a comfortable train environment with less annoyance caused by the adjacent person presence. However, many of these efforts involve alterations to the interior layout or structure, leading to challenges in passenger capacity. Therefore, this study attempted to reduce the influence of adjacent person presence in Shinkansen cars using an approach that minimizes physical changes by only altering the lighting conditions. Specifically, two experiments focusing on illuminance ratio and Correlated Color Temperature (CCT) were conducted. In these experiments, a situation was simulated where two passengers sat next to each other in a Shinkansen, and various lighting conditions were presented. One of the two individuals was subject of evaluation, and measurements were taken for subjective evaluation, eye movements, and task performance. The results of these experiments suggested that setting the work surface a low CCT and the surroundings to a high CCT not only improved concentration but also potentially reduces the influence of adjacent person presence. This study contributes to the development of train interiors where more people can use the railway without concerns for being bothered by other passengers.


Improvement of interior lighting function in railway vehicles鉄道車両における車内照明の機能向上

January 2021

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15 Reads

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1 Citation

The Proceedings of the Transportation and Logistics Conference

In recent years, the interior lighting of railway vehicles is changing to LED lighting. LED lighting has dimming and toning functions, which makes it possible to create an unprecedented in-vehicle environment and may contribute to in-vehicle comfort. In this study, we examined the possibilities of various functions of lighting. We also conducted multiple evaluation tests to verify the specifications and expected effects that lead to improve in-vehicle comfort.


Study on the Mechanism of Improvement of Realistic Sensation on Driving Simulator Based on Measurement of Cortical Brain Activity for Sign and Information Boards

January 2016

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30 Reads

The Proceedings of the Transportation and Logistics Conference

Recently, driving simulator(DS) has been widely used in various research fields such as assessment of traffic safety countermeasure. To be used at more diverse research areas, it is important to improve realistic sensation of DS. In this paper, we have focused on driver’s cognition status for sign and information boards in highway. By using measurement of cortical brain activity, we will analyze data. With data from analyzing, we will compare real car experiment environment and DS experiment environment and find mechanism to improve the realistic sensation of DS.


Comparison of Cortical Activation and Driver Operation in Driving Simulator and Real Car ExperimentsUsing Functional Near-infrared Spectroscopy

March 2015

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8 Reads

Analysis of driving characteristic can be used in building more flexible driver behavior model which is very important in developing operation support system that can be adapted to individual needs of a driver. In this paper, attention has paid to drivers behave before driving into curve. We performed experiments using a real vehicle in a test course. The cortical brain activity was measured by a functional near-infrared spectroscopy (fNIRS). Meanwhile, we also operated the same experiments using a driving simulator on a course which was built based on the test course. Results would be helpful for understanding drivers' behavior in curving driving.


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A Study on the Effect of Interior Gradation Pattern on Sense of Roominess in Car Room
  • Article
  • Full-text available

May 2014

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87 Reads

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1 Citation

Journal of Light & Visual Environment

Cars are requested to obtain a wide room space and a compact package at the same time. Expression of depth through gradation of brightness is known well in general, and in this study, subjects were experimented whether car room could be shown larger when this method using a gradation tunnel pattern, was applied to the interior of a car. Following results were derived from the experiment, by sorting and analyzing subjects' comments and analyzing variances of numerical data, and it was clarified that the method is influential in the sense of depth.1. The depth perception created by the gradation tunnel pattern is a few centimeters, more or less.2. There are both cases when it seems dented and when it seems swollen.3. Black centered pattern looks deeper than white centered pattern.4. Stepping gradation pattern looks deeper than continuous gradation pattern.5. How it is perceived varies among subjects, and roughly they could be divided into four groups.6. What looks deeper is not necessarily preferable, and the application to door trim seems adequate.

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Characteristics between driving operation and brain activity in curve sections

January 2014

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107 Reads

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1 Citation

To improve highway traffic safety, we focus on the relation between driving operations and drivers' cortical brain activity corresponding to road geometry since it is considered that the cortical brain activity has a significant effect on driving behavior. In this paper, we performed a series of experiments using a driving simulator on a special designed course which included several left and right curves. When drivers steered around the curves, their operations and vehicle state was recorded meanwhile their cortical brain activity was also measured by a functional near-infrared spectroscopy (fNIRS). We analyzed the characteristic differences of driving operations about left/right curves, and furthermore accordantly difference of activation of brain regions between left/right curves was also extracted independently. Results showed that fNIRS can be used in driving simulator experiments to evaluate drivers' brain activity for curve driving.