An Analysis of the Flickering Patterns of LED Warning Lights for Visibility Improvement Based on Psychophysical Measurements
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- SHIRAIWA Aya
- 関西学院大学 大学院理工学研究科/感性価値創造研究センター
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- TOBITANI Kensuke
- 関西学院大学 大学院理工学研究科/感性価値創造研究センター
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- SHIMOTOMAI Takayuki
- 玉川大学脳科学研究所
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- INOME Hiroya
- 関西学院大学 大学院理工学研究科/感性価値創造研究センター
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- FUJISAWA Takashi X.
- 福井大学子どものこころの発達研究センター
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- AIBA Eriko
- 関西学院大学 大学院理工学研究科/感性価値創造研究センター 産業技術総合研究所関西センター 日本学術振興会
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- NAGATA Noriko
- 関西学院大学 大学院理工学研究科/感性価値創造研究センター
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- KITAMURA Yasuhiko
- 関西学院大学 大学院理工学研究科/感性価値創造研究センター
Bibliographic Information
- Other Title
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- LED警光灯の視認性向上のための感性指標に基づく点滅パターン解析
- LEDケイヒカリトウ ノ シニンセイコウ ジョウ ノ タメ ノ カンセイ シヒョウ ニ モトズク テンメツ パターン カイセキ
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Abstract
Recently, the number of emergency vehicles equipped with light-emitting diode (LED) warning lights has increased. Unlike traditional beanie lights, LED warning lights can display various flickering patterns because these patterns are controlled by computers. The purpose of this study was to develop flickering patterns that had a high level of visibility. Lighting time (ON time), no-lighting time (OFF time), light intensity and rising time (UP time) were controlled by a microcomputer. Further, the visibility of each LED flickering pattern was evaluated quantitatively. Specifically, the visibility of the flickering patterns using the psychophysical measure of “conspicuity (easy to stand out)” from Bradley-Terry paired comparison model was identified. Results showed that OFF time had a significantly greater influence on visibility than ON time. Moreover, the flickering pattern with 66 msec of OFF time provided optimal visibility, regardless of the ON time, by making the visibility map, which represented the degree of visibility between ON time and OFF time. Therefore, the ideal combination between ON time and OFF time was determined.
Journal
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- Journal of the Japan Society for Precision Engineering
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Journal of the Japan Society for Precision Engineering 79 (11), 1159-1164, 2013
The Japan Society for Precision Engineering
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Details 詳細情報について
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- CRID
- 1390001204830001024
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- NII Article ID
- 130003384948
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- NII Book ID
- AN1003250X
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- ISSN
- 1882675X
- 09120289
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- NDL BIB ID
- 024986699
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed