32 research outputs found

    A Thought on the Establishment of Shipping Guarantee Fund and its Fund-Raising Measures in Korea

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    Estimation and Determinants of Total Factor Productivity : Application of Spatial Econometrics Models

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    ์ง€์—ญ๋‚ด์ด์ƒ์‚ฐ์˜ ์ฆ๊ฐ€๋Š” ์ƒ์‚ฐ์š”์†Œ์˜ ํˆฌ์ž…๊ณผ ์ƒ์‚ฐ์„ฑ์— ์˜ํ–ฅ์„ ๋ฐ›๋Š”๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ƒ์‚ฐ์š”์†Œ์˜ ํˆฌ์ž…์€ ํ•œ๊ณ„๊ฐ€ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์ง€์—ญ๊ฒฝ์ œ๊ฐ€ ์ง€์†์ ์œผ๋กœ ์„ฑ์žฅํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ์ด ์ค‘์š”ํ•˜๋‹ค. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ 2009๋…„ ์ง€์—ญ๋‚ด์ด์ƒ์‚ฐ์€ 2005๋…„ ๋ถˆ๋ณ€๊ฐ€๊ฒฉ ๊ธฐ์ค€ ์•ฝ 999์กฐ ์›์œผ๋กœ 1995๋…„ ๋Œ€๋น„ 74.2% ์ฆ๊ฐ€ํ–ˆ๋‹ค. ๊ธˆ์•ก์œผ๋กœ๋Š” ์„œ์šธ์ด ์ „์ฒด ์‹œโ€ค๋„ ์ค‘ ์ค„๊ณง 1์œ„๋ฅผ ์œ ์ง€ํ–ˆ์œผ๋‚˜, ์ฆ๊ฐ€์œจ ๋ฉด์—์„œ๋Š” 46.3%๋กœ 11์œ„์— ๋จธ๋ฌผ๋ €๋‹ค. ์ด ๊ธฐ๊ฐ„ ๋™์•ˆ ์ถฉ๋‚จ์˜ ์ฆ๊ฐ€์œจ์€ 196.8%๋ฅผ ๋ณด์˜€์œผ๋‚˜, ๋Œ€๊ตฌ์˜ ์ฆ๊ฐ€์œจ์€ 22.7%๋กœ ๊ทธ ์ฐจ์ด๊ฐ€ 8.7๋ฐฐ์— ๋‹ฌํ–ˆ๋‹ค. ๊ณต๊ฐ„์ ์œผ๋กœ ์ธ์ ‘ํ•œ ์‹œโ€ค๋„์˜ ๊ฒฝ์šฐ ๊ด‘์ฃผ-์ „๋‚จ์„ ์ œ์™ธํ•˜๊ณ ๋Š” ๊ด‘์—ญ์‹œ๋ณด๋‹ค ๋„์˜ ์ฆ๊ฐ€์œจ์ด ๋” ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌํ•œ ์ง€์—ญ๋‚ด์ด์ƒ์‚ฐ ์ฆ๊ฐ€์œจ ์ฐจ์ด๊ฐ€ ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ์˜ ์ฐจ์ด์—์„œ ๋น„๋กฏํ–ˆ์„ ๊ฒƒ์ด๋ผ๋Š” ๊ฐ€์ •์—์„œ ์ถœ๋ฐœํ–ˆ๋‹ค. ์ด์— ๋”ฐ๋ผ ๋ณธ ์—ฐ๊ตฌ๋Š” 1995๋…„๋ถ€ํ„ฐ 2009๋…„๊นŒ์ง€ ์šฐ๋ฆฌ๋‚˜๋ผ ์‹œโ€ค๋„์˜ ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ์„ ์ถ”์ •ํ•˜๊ณ , ๊ทธ ๊ฒฝํ–ฅ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ตœ๊ทผ 5๊ฐœ๋…„์„ ๋Œ€์ƒ์œผ๋กœ ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ ๊ฒฐ์ •์š”์ธ์„ ๋ถ„์„ํ•จ์œผ๋กœ์จ ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ์„ ์œ„ํ•œ ์ •์ฑ…์  ํ•จ์˜๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ ๋ถ„์„ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ์ง€๋‚œ 15๋…„๊ฐ„ ์‹œโ€ค๋„๋ณ„ ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ์ด ๊ฐœ์„ ๋˜์—ˆ์ง€๋งŒ ๊ทธ ํšจ๊ณผ๋Š” ๋ฏธ๋ฏธํ•œ ํŽธ์ด์—ˆ๋‹ค. ์ง€์—ญ ๊ฐ„ ๊ฒฉ์ฐจ๊ฐ€ ์ ์  ์ปค์ง€๊ณ  ์žˆ๋Š”๋ฐ, ์ด๋Ÿฌํ•œ ๊ฒฝํ–ฅ์€ ๋ถˆํ‰๋“ฑ์ง€์ˆ˜ ์ถ”์ •๊ฒฐ๊ณผ์—์„œ๋„ ํ™•์ธ๋˜์—ˆ๋‹ค. ํŠนํžˆ ์ตœ๊ทผ ๋“ค์–ด ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ์ด ๋‚ฎ์•„์ง€๋Š” ์ง€์—ญ์ด ๋Š˜์–ด๋‚˜๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ํ•œํŽธ ์ง€๋‚œ 15๋…„ ๋™์•ˆ ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ์ด ๊ฐ€์žฅ ๋งŽ์ด ํ–ฅ์ƒ๋œ ๊ณณ์€ ์ถฉ๋‚จ์œผ๋กœ ์ตœํ•˜์œ„์ธ ๋Œ€๊ตฌ์˜ 7.4๋ฐฐ์— ๋‹ฌํ–ˆ๋‹ค. ๊ด‘์—ญ์‹œ์˜ ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ์ด ๋„์— ๋น„ํ•ด ๋‚ฎ์€ ์ ๋„ ์ฃผ๋ชฉํ•  ๋งŒํ•˜๋‹ค. ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ ๊ฒฐ์ •์š”์ธ ๋ถ„์„ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ์ธ๊ตฌ ๊ทœ๋ชจ, ๊ต์œก ์ˆ˜์ค€, ์ง€๋ฐฉ์ •๋ถ€์˜ ํˆฌ์ž์  ์ง€์ถœ ๋น„์ค‘๊ณผ ๋ณต์ง€์˜ˆ์‚ฐ์˜ ๋น„์ค‘์€ ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ์— ์–‘(+)์˜ ๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ์ง€๋ฐฉ์ •๋ถ€์˜ ์žฌ์ • ์ง€์ถœ์ด ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ์— ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ์ ์€ ์ง€๋ฐฉ์ •๋ถ€์˜ ํšจ์œจ์  ์ž์›๋ฐฐ๋ถ„์ด ์ค‘์š”ํ•จ์„ ์˜๋ฏธํ•œ๋‹ค. ์žฌ๋‚œ๋ฐœ์ƒ๊ณผ ์‚ฐ์—…์žฌํ•ด์œจ์€ ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ์— ์Œ(-)์˜ ๊ด€๊ณ„๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์žฌ๋‚œ๊ณผ ์žฌํ•ด๋Š” ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ตญ๋ฏผ์˜ ์†Œ์ค‘ํ•œ ์ƒ๋ช…์„ ์ง€ํ‚จ๋‹ค๋Š” ์ฐจ์›์—์„œ ๋” ๋งŽ์€ ๊ด€์‹ฌ์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์‚ฐ์—…ํŠนํ™”๋„๋กœ ๋Œ€๋ณ€๋œ ์ง€์—ญํ™”๊ฒฝ์ œ๋Š” ๋‚˜ํƒ€๋‚˜์ง€ ์•Š๋Š” ๊ฒƒ์œผ๋กœ ์ถ”์ •๋˜์—ˆ๋‹ค. ๋‹จ์ˆœํ•œ ์ง€๋ฆฌ์  ์ง‘์ ๋ณด๋‹ค ํ˜์‹ ์ฃผ์ฒด ๊ฐ„ ๋„คํŠธ์›Œํฌ ๊ฐ•ํ™” ๋“ฑ ํ˜์‹ ์ฒด๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•œ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ํ•œํŽธ ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด์š”์†Œ์ƒ์‚ฐ์„ฑ ๋ถ„์„ ์‹œ ๋‹ค์„ฏ ๊ฐ€์ง€์˜ ํŒจ๋„๋ชจํ˜•์„ ์ ์šฉํ–ˆ๋Š”๋ฐ, Parks ๋ชจํ˜•์˜ ์„ค๋ช…๋ ฅ์ด ๊ฐ€์žฅ ์šฐ์ˆ˜ํ–ˆ๋‹ค. ํŠนํžˆ ๊ฒฐ์ •์š”์ธ ๋ถ„์„ ์‹œ ๊ณต๊ฐ„ํšจ๊ณผ๋ฅผ ์‹ค์งˆ์ ์œผ๋กœ ๋ฐ˜์˜ํ•˜๊ธฐ ์œ„ํ•ด ๊ณต๊ฐ„๊ณ„๋Ÿ‰๊ฒฝ์ œ๋ชจํ˜•๊ณผ ๊ณต๊ฐ„ํŒจ๋„๋ชจํ˜•์„ ์ ์šฉํ•˜๊ณ , ์ผ๋ฐ˜์„ ํ˜•ํšŒ๊ท€๋ชจํ˜•๊ณผ ์„ค๋ช…๋ ฅ์„ ๋น„๊ตํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ ๊ณต๊ฐ„์ข…์†์„ฑ์ด ์กด์žฌํ•˜๋Š” ๊ณต๊ฐ„์ž๋ฃŒ์˜ ๋ถ„์„์—๋Š” ๊ณต๊ฐ„๊ณ„๋Ÿ‰๊ฒฝ์ œ๋ชจํ˜•๊ณผ ๊ณต๊ฐ„ํŒจ๋„๋ชจํ˜•์˜ ์„ค๋ช…๋ ฅ์ด ์ผ๋ฐ˜์„ ํ˜•ํšŒ๊ท€๋ชจํ˜•๋ณด๋‹ค ๋” ์šฐ์ˆ˜ํ•จ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค.Docto

    A Study on Investment Strategies of Korean Corporations in Vietnam

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    ํ•ด์–‘์‚ฐ์—… ์—ฐ๊ตฌํšŒ ์ œ1์ฐจ ์›Œํฌ์ˆ-์ถฉ๋‚จ ํ•ด์–‘ ํ—ฌ์Šค์ผ€์–ด ์‚ฐ์—…์œก์„ฑ์„ ์œ„ํ•œ ์ •์ฑ…๋ฐฉํ–ฅ ๋ชจ์ƒ‰ ์›Œํฌ์ˆ(๋ฐ•๊ด‘์„œ,์ด์ฃผ์˜,์ตœ๋ฏธ๊ฒฝ)

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    1. ๊ฐœ์ตœ ๊ฐœ์š” โ—‹ ๊ฐœ์ตœ๋ชฉ์ : ํ•ด์–‘์‚ฐ์—… ์—ฐ๊ตฌํšŒ๋ฅผ ํ™œ์šฉํ•œ ์›Œํฌ์ˆ์„ ๊ฐœ์ตœํ•˜์—ฌ ์ถฉ๋‚จ์ง€์—ญ์—์„œ ์œก์„ฑ ๊ฐ€๋Šฅํ•œ ํ•ด์–‘ ์‹ ์‚ฐ์—…๋ถ„์•ผ๋ฅผ ๋ฐœ๊ตดํ•˜๊ธฐ ์œ„ํ•œ ๊ตฌ์ฒด์  ๋…ผ์˜์˜ ๅ ด์œผ๋กœ ํ™œ์šฉ์ฝ”์ž ํ•จ โ—‹ ์ผ ์‹œ: 2015๋…„ 4์›” 16์ผ(๋ชฉ์š”์ผ), 14:00 ~ 16:30 โ—‹ ์žฅ ์†Œ: ๋Œ€์ „ KTX์—ญ์‚ฌ ํšŒ์˜์‹ค(ํ˜œํ™”์‹ค) โ—‹ ์ฐธ์„์ž: 15๋ช…๋‚ด์™ธ 2. ํšŒ์˜ ์ง„ํ–‰ ๋ฐ ์ค€๋น„์‚ฌํ•ญ โ—‹ ๋ณธ ์›Œํฌ์ˆ์€ ๋ธŒ๋ ˆ์ธ์Šคํ† ๋ฐ(brainstorming)๋ฐฉ์‹์œผ๋กœ ์ง„ํ–‰๋จ์— ๋”ฐ๋ผ ์ฐธ์„์ž ์ „์›์ด ์ž์œ ๋กœ์šด ํ† ๋ก ์„ ๊ฐœ์ง„ํ•จ - ์ดํ›„ ์ƒ๋žต- ์ถฉ๋‚จ ํ•ด์–‘ํ—ฌ์Šค์ผ€์–ด ์‚ฐ์—…์œก์„ฑ์„ ์œ„ํ•œ ์ •์ฑ…๋ฐฉํ–ฅ ๋ชจ์ƒ‰ - ํ•ด์–‘์ˆ˜์‚ฐ๋ถ€ ์ค‘์žฅ๊ธฐ ํ•ด์–‘์ˆ˜์‚ฐ ์ •์ฑ… ์ถ”์ง„๋ฐฉํ–ฅ - ์™œ ์‚ฐ๋ฆผ์น˜์œ ์ธ๊ฐ€ - ํ•ด์–‘ ํ—ฌ์Šค์ผ€์–ด ์‚ฐ์—…๋™ํ–ฅ ๋ฐ ์‚ฌ์—…ํ™”๋ชจ

    ๋ฏผ์„ 5๊ธฐ ์ถฉ๋‚จ ๋†์ •์˜ ๊ณผ์ œ์™€ ๋ฐœ์ „๋ฐฉํ–ฅ ๋ชจ์ƒ‰์„ ์œ„ํ•œ ์›Œํฌ์ˆ 3ํšŒ (๋ฐ•๊ด‘์„œ,์žฅ์ฒ ์ˆ˜,๊น€๊ด‘์„ )

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    ๏ฟญ[์ œ1์ฃผ์ œ]์ „๋ผ๋‚จ๋„์˜ ํ–‰๋ณต๋งˆ์„ -๊ธฐ๋ณธ๊ตฌ์ƒ๊ณผ ์ถ”์ง„๋ฐฉ์‹ (๋ฐ•๊ด‘์„œ ์ „๋‚จ๋Œ€ํ•™๊ต ๊ฒฝ์ œํ•™๋ถ€) ๏ฟญ[์ œ2์ฃผ์ œ]์‚ฐ๋ฆผโ€ค์ž„์—… ๋ถ€๋ฌธ ์ค‘์žฅ๊ธฐ ๋ฐœ์ „๋ฐฉํ–ฅ ๋ฐ ๊ณผ์ œ (์žฅ์ฒ ์ˆ˜ ํ•œ๊ตญ๋†์ดŒ๊ฒฝ์ œ์—ฐ๊ตฌ์›) ๏ฟญ[์ œ3์ฃผ์ œ]๋†์–ด์ดŒ ์„œ๋น„์Šค๊ธฐ์ค€ ์ œ๋„์— ๋Œ€ํ•œ ์ดํ•ด์™€ ๋†์–ด์ดŒ ์„œ๋น„์Šค ๊ฐœ์„ ์„ ์œ„ํ•œ๏ฟญ[์ œ1์ฃผ์ œ]์ „๋ผ๋‚จ๋„์˜ ํ–‰๋ณต๋งˆ์„ -๊ธฐ๋ณธ๊ตฌ์ƒ๊ณผ ์ถ”์ง„๋ฐฉ์‹ (๋ฐ•๊ด‘์„œ ์ „๋‚จ๋Œ€ํ•™๊ต ๊ฒฝ์ œํ•™๋ถ€) ย 1. ์ „๋‚จ ๋†์–ด์ดŒ์˜ ์ƒํ™ฉ ย 2. ๋†์‚ฐ์–ด์ดŒ ๋งˆ์„์˜ ๋‹น๋ฉด ๋ฌธ์ œ์  ย 3. ํ–‰๋ณต๋งˆ์„ ๋น„์ „๊ณผ ๋ชฉํ‘œ ย 4. ๊ธฐ๋ณธ๋ฐฉํ–ฅ 1 ย 5. ๊ธฐ๋ณธ๋ฐฉํ–ฅ 2 ย 6. ํ–‰๋ณต๋งˆ์„ ์‚ฌ์—… ์ถ”์ง„ ์ฒด๊ณ„์˜ ์ •๋น„์™€ ์žฅ์• ์š”์ธ ย 7. ํ–‰๋ณต๋งˆ์„ ์กฐ์„ฑ ์œ ํ˜• ย 8. ํ–‰๋ณต๋งˆ์„ ์œ ํ˜•๊ณผ ๊ทธ ์—ฐ๊ณ„ ์ฒด๊ณ„ ย 9.ย  ์œ ํ˜•๋ณ„ ์‚ฌ์—… ์šฐ์„  ์ˆœ์œ„ ย 10. ์ฃผ์š” ์ƒํ™œ๊ถŒ๋ณ„ ์‹œ์„ค ย 11. ์ถ”์ง„ ๋ฐฉ์‹ ย 12. ์ถ”์ง„ ์ ˆ์ฐจ ย 13. ์„ ์ •์š”๊ฑด(์„ ์ •์‹ฌ์‚ฌํ‘œ) ย 14. ์ถ”์ง„ ์ƒํ™ฉ ย 15. ํ–‰๋ณต๋งˆ์„ ์‚ฌ์—…์˜ ํ‰๊ฐ€ ๏ฟญ[์ œ2์ฃผ์ œ]์‚ฐ๋ฆผโ€ค์ž„์—… ๋ถ€๋ฌธ ์ค‘์žฅ๊ธฐ ๋ฐœ์ „๋ฐฉํ–ฅ ๋ฐ ๊ณผ์ œ (์žฅ์ฒ ์ˆ˜ ํ•œ๊ตญ๋†์ดŒ๊ฒฝ์ œ์—ฐ๊ตฌ์›) 1. ์‚ฐ๋ฆผโ€ค์ž„์—…์„ ๋‘˜๋Ÿฌ์‹ผ ์—ฌ๊ฑด ๋ณ€ํ™” 2. ๊ตญ๋‚ด ์‚ฐ๋ฆผโ€ค์ž„์—…๋ถ€๋ฌธ์˜ ํ˜„์‹ค 3. ์‚ฐ๋ฆผโ€ค์ž„์—…๋ถ€๋ฌธ์ •์ฑ…์˜ ์ „๊ฐœ๊ณผ์ • 4. ์‚ฐ๋ฆผโ€ค์ž„์—…๋ถ€๋ฌธ ์ค‘์žฅ๊ธฐ ๋ฐœ์ „๋ฐฉํ–ฅ ๋ฐ ๊ณผ์ œ 5. ์ถฉ๋‚จ ์‚ฐ๋ฆผโ€ค์ž„์—…๋ฐœ์ „์„ ์œ„ํ•œ ์‹œ์‚ฌ์  ๋ฐ ์ œ์–ธ ๏ฟญ[์ œ3์ฃผ์ œ]๋†์–ด์ดŒ ์„œ๋น„์Šค๊ธฐ์ค€ ์ œ๋„์— ๋Œ€ํ•œ ์ดํ•ด์™€ ๋†์–ด์ดŒ ์„œ๋น„์Šค ๊ฐœ์„ ์„ ์œ„ํ•œ ์ถฉ์ฒญ๋‚จ๋„์˜ ์ •์ฑ… ๋ฐฉํ–ฅ (๊น€๊ด‘์„  ํ•œ๊ตญ๋†์ดŒ๊ฒฝ์ œ์—ฐ๊ตฌ์›) 1. ๋†์–ด์ดŒ ์„œ๋น„์Šค๊ธฐ์ค€ ์ œ๋„์˜ ๋„์ž… ๋ฐฐ๊ฒฝ 2. ๋†์–ด์ดŒ ์„œ๋น„์Šค๊ธฐ์ค€์˜ ์ œ๋„ํ™” ์ถ”์ง„ ๊ฒฝ๊ณผ์™€ ์ฃผ์š” ๋‚ด์šฉ 3. ๋†์–ด์ดŒ ์„œ๋น„์Šค๊ธฐ์ค€ ์ œ๋„ ์šด์˜์„ ์œ„ํ•œ ํ–ฅํ›„ ์ถ”์ง„ ๊ณผ์ œ 4. ์ถฉ์ฒญ๋‚จ๋„์˜ ๊ณต๊ณต์„œ๋น„์Šค ๊ณต๊ธ‰ ์‹คํƒœ์™€ ๋†์–ด์ดŒ ์„œ๋น„์Šค๊ธฐ์ค€ ์ดํ–‰์‹คํƒœ 5. ๋†์–ด์ดŒ ์„œ๋น„์Šค ๊ฐœ์„ ์„ ์œ„ํ•œ ์ถฉ์ฒญ๋‚จ๋„์˜ ์ •์ฑ…๊ณผ

    A Study on the Characteristics Analysis of High Frequency Common-Mode Choke with the Winding Method of Automatic Type suitable for LED-TV SMPS

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    This paper presents the high frequency common mode (HFCM) choke with the winding method of automatic type capable of EMI attenuation of high frequency band / used in the EMI filter of LED-TV SMPS without PFC block. The high frequency common mode choke with the winding method of automatic type proposed in this paper can not only reduce the parasitic capacitance(Cp), but also ensure the uniformity of electrical characteristics by adopting the winding methods of multi-section bobbin and automatic types, compared to the conventional high frequency common mode choke with the winding method of manual type. The first resonant frequency of the proposed CM choke tends to increase as the parasitic capacitance becomes small and its impedance characteristics improved performance as the first resonant frequency increases, especially in the high frequency bands. The high frequency common mode choke (Cp) with the winding method of automatic type proposed in this paper shows that in the future, the method may have practical use in LED/OLED-TV SMPS and in several applications, such as LED Lighting, Laptop Adapter, and so on.2

    Modelling of Driverโ€™s Stopping Maneuver Based on Expression as Hybrid Dynamical System under Three-Dimensional Virtual Reality Equipment

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    This paper presents a new framework to understand the modeling strategy of the human driving behavior based on the expression as Hybrid Dynamical System(HDS) model focusing on the driverโ€™s stopping maneuver. The driving data are collected by using the three-dimensional driving simulator based on CAVE Automatic Virtual Environment(CAVE), which provides stereoscope immersive virtual environment. In our modeling, the control scenario of the human driver, that is, the mapping from the driverโ€™s sensory information to the operation of the driver such as acceleration, braking and steering, is expressed by Piecewise Polynomial System (PWPS) model. Since the PWPS model includes both continuous behavior given by polynomials and discrete logical conditions, it can be regarded as a class of Hybrid Dynamical System(HDS). The key idea to solve the identification problem for the PWPS model is formulated as the Mixed Integer Linear Programming(MILP) by transforming the switching conditions into binary variables. From the obtained results, it is found that the driver appropriately switches the โ€˜control lawโ€™ according to the following scenario : At the beginning of the stopping maneuver (just after finding the stopping point), the driver decelerate the vehicle based on the acceleration information, and then switch th toe control law based on the distance to the stop line. These results enable us to capture not only the physical meaning of the driving skill(polynomials), but also the decision-making aspect(switching conditions) in the driverโ€™s stopping maneuver.2
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