Estimating Suitable Probability Distribution Function for Multimodal Traffic Distribution Function
(주)코리아스칼라
- 최초 등록일
- 2023.04.05
- 최종 저작일
- 2015.06
- 6페이지/ 어도비 PDF
- 가격 4,000원
* 본 문서는 배포용으로 복사 및 편집이 불가합니다.
서지정보
ㆍ발행기관 : 해양환경안전학회
ㆍ수록지정보 : 해양환경안전학회지 / 21권 / 3호
ㆍ저자명 : Sang-Lok Yoo, Jae-Yong Jeong, Jeong-Bin Yim
영어 초록
The purpose of this study is to find suitable probability distribution function of complex distribution data like multimodal. Normal distribution is broadly used to assume probability distribution function. However, complex distribution data like multimodal are very hard to be estimated by using normal distribution function only, and there might be errors when other distribution functions including normal distribution function are used. In this study, we experimented to find fit probability distribution function in multimodal area, by using AIS(Automatic Identification System) observation data gathered in Mokpo port for a year of 2013. By using chi-squared statistic, gaussian mixture model(GMM) is the fittest model rather than other distribution functions, such as extreme value, generalized extreme value, logistic, and normal distribution. GMM was found to the fit model regard to multimodal data of maritime traffic flow distribution. Probability density function for collision probability and traffic flow distribution will be calculated much precisely in the future.
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