RElative MOtion (REMO) Analysis and Visualization of Vessels Movements
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김혜진 | - |
dc.contributor.author | Hyowon Ban | - |
dc.date.accessioned | 2021-12-08T12:40:23Z | - |
dc.date.available | 2021-12-08T12:40:23Z | - |
dc.date.issued | 20170409 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/3565 | - |
dc.description.abstract | Automatic Identification System (AIS) data have been used to locate vessels by exchanging data including vessels’ position, identity, speed, and course with other nearby ships, AIS base stations, and satellites. The AIS data have been widely studied with topics of spatio-temporal distributions, anomaly detection, and prediction of routes of vessels, spatial domain of ships, statistical analysis of traffic patterns and collision risk of vessels, emission estimation of ships,uncertainty of AIS data, etc. RElative MOtion (REMO) analysis measures relative speed, delta speed change of speed, and azimuth of object(s) moving at the same region per time. There have been studies that utilize REMO analysis to detectand measure constancy, concurrence, trend-setting, turn, opposition, and dispersion of moving objects such as herds, athletes, and dancers. However, there have been very few existing studies that investigate spatio-temporal relationshipsof vessels concurrently moving in the same areas. This study tries to measure and represent characteristics of movements of certain vessels in South Korea by analyzing their large AIS data using the REMO approach. Results from this study are visualized in maps that show changes of azimuth, speed, and delta speed per time unit. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | RElative MOtion (REMO) Analysis and Visualization of Vessels Movements | - |
dc.title.alternative | RElative MOtion (REMO) Analysis and Visualization of Vessels Movements | - |
dc.type | Conference | - |
dc.citation.title | AAG 2017 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 80 | - |
dc.citation.endPage | 80 | - |
dc.citation.conferenceName | AAG 2017 | - |
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