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ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
A Study on Large-Scale Traffic Information Modeling using R |
ÀúÀÚ(Author) |
±è¼±È«
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Sunhong Kim
Hyoseop Shin
Seokhyun Son
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¿ø¹®¼ö·Ïó(Citation) |
VOL 41 NO. 04 PP. 0151 ~ 0157 (2014. 08) |
Çѱ۳»¿ë (Korean Abstract) |
ÃÖ±Ù ºòµ¥ÀÌÅÍ(Big Data) ±â¼úÀ» ÀÌ¿ëÇÑ ÀÀ¿ë ¼ºñ½º¿¡ ´ëÇÑ ¼ö¿ä°¡ ´Ã¾î³ª¸é¼ ITS(Intelligence Transportation System) ºÐ¾ß ¿ª½Ã ºòµ¥ÀÌÅÍ ±â¼úÀÇ Àû¿ë »ç·Ê°¡ Áõ°¡ÇÏ°í ÀÖ´Â Ãß¼¼ÀÌ´Ù. ÇöÀç Àü±¹ ´ëºÎºÐÀÇ µµ·Î¿¡¼ ÃëµæµÇ´Â ±³ÅëÁ¤º¸´Â ÀÏÆò±Õ ¼ö½ÊGB°¡ ³ÑÁö¸¸, À̸¦ ÀǹÌÀÖ°Ô È°¿ëÇÏ°í ÀÖÁö ¸øÇÏ°í ÀÖ´Â °ÍÀÌ ½ÇÁ¤ÀÌ´Ù. º» ³í¹®¿¡¼´Â ITSü°è ³» VDSÀåºñ·ÎºÎÅÍ ¼öÁýµÈ ´ë¿ë·®ÀÇ ±³ÅëÁ¤º¸¿¡¼ ÀǹÌÀÖ´Â Á¤º¸¸¦ âÃâÇϱâ À§ÇØ ±³ÅëÁ¤º¸ºÐ¼® ¹× ¸ðµ¨À» Á¦¾ÈÇÑ´Ù. º» ³í¹®Àº ±³ÅëÁ¤º¸ºÐ¼®À» À§ÇÑ µµ±¸·Î¼ RÀ» ÀÌ¿ëÇÏ¿´À¸¸ç, ½ÇÇèÀ» ÅëÇØ ±³ÅëÁ¤º¸ÀÇ ¿äÀÏ ½Ã°£´ëº° ¼ÓµµÀÇ Á¤±ÔºÐÆ÷(Normal Distribution)¿Í ±³ÅëÁ¤º¸°£ »ó°ü°ü°è(Correlation)¸¦ Á¦½ÃÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
Recently, demand for big data technologies is increasing in various application services. Likewise, ITS (Intelligence Transportation System) area is more and more adopting the big data technologies. The traffic information of the whole country roads is over the dozens of gigabytes, but it couldn't be applied very well. In this paper, we suggest traffic information analysis and model for creating meaningful values on large-scale traffic information which is measured by VDS devices. We use R for our experiment. As a result, we empirically present the normal distribution-ness of vehicle speed values on hourly and daily basis, and also analyze correlation relationship among traffic information parameters.
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Å°¿öµå(Keyword) |
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large-scale traffic information
traffic information modeling
vehicle speed normal distribution
traffic information correlation
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