The Journal of Japan Institute of Navigation
Online ISSN : 2187-3275
Print ISSN : 0388-7405
ISSN-L : 0388-7405
New Method for Analyzing Traffic Flow Using Integrated Radar Network System and AIS in Tokyo Bay
Shun LIUHideki HAGIWARARuri SHOJIHitoi TAMARU
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JOURNAL FREE ACCESS

2005 Volume 113 Pages 69-76

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Abstract

Utilization of Radar Network System for traffic flow observation in Tokyo Bay has been mentioned in former paper. However, radar echoes from vessels which are inside island shade, behind bridge or being covered by the lager ship are not reflected to radar screen. Besides, two ships can't be recognized when they are in close proximity. With integrating AIS (static and dynamic data) into radar observation and analysis, the above problems have been resolved by using AIS information. Simultaneously, by comparing the radar information with AIS data, the new methods of analyzing and estimating traffic flow have been found. In other words, AIS position can be utilized to automatically track the center of ship image on radar screen; the ship's length by AIS data can be used to improve accuracy of regression formula for estimating ship's length from the size of ship image on radar screen.

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https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
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