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Analysis Program for Automatic Identification System
“TrafficStateAnalysisTool 2” ver. 1.0


TrafficStateAnalysisTool2 (TSAT 2) is an analysis program of AIS data for the purpose of investigating ship traffic volume and analyzing collision accidents.

AIS (Automatic Identification System) is exchange system of navigational data between ships as well as between ships and shore station including static data (ship name, ship type and ship size etc.), dynamic data (position, speed and course etc.) and safety related message.

 - Preparations for Analysis

   ◆TSAT2 removes outliers from the AIS data.
   ◆TSAT2 regenerates synchronous data from AIS data at any time interval.
 - Analysis For Marine Traffic Circumstance and Collision Accidents
   ◆Drawing ship trajectories
   ◆OD (Origin and Destination) survey: marine traffic circumstance such as
   number of ships and sailing speed is analyzed. The survey result is useful to
   understand the state of maritime traffic.
   ◆Calculation of OZT (Obstacle Zone by Target: OZT is an area that represents
   the position of possible collision in the future between given two ships. TSAT 2
   calculates OZT position, outputs a file and draws the map of OZT position using
   the outputs file. OZT is useful to evaluate collision risk in investigation of
   collision accidents.
   ◆Calculation of relative state quantity: TSAT2 calculates relative state quantity
   between given two ships and outputs a file. Relative state quantity is useful to
   evaluate the navigational condition objectively in investigation of collision
   ◆Calculation of collision risk: TSAT2 calculates collision risk by indices
   presented in academic journal. Collision
   risk is useful to investigate of collision accidents.

Sample of TSAT2 Viewing




System Requirements
- OS: Windows 10 (64bit)
- memory: 2GB and more

Inquiries regarding TSAT
E-mail: tizai@m.mpat.go.jp

R. MIYAKE et al. : Assessment of Situation Awareness on Collision Accident Involved Container Ships, Journal of Japan Institute of Navigation, vol. 140, pp.68-76, 2019.