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indicating the volume of traffic crossing a optional line, a velocity distribution chart and a traffic density chart which indicates the mean value of being vessels in one square kilometer instantaneously. As an example, typical charts obtained from an observation at the entrance of the Bay of Tokyo were shown in Fig.3 and Fig.4. In this navigation area, a large number of vessels were gathering at the Uraga Traffic Route and were scattering to various destinations from the traffic route, and so it will be danger to navigate.

These results give us the useful information quantitatively, how many vessels are passing through on what route, at how many speed and so on. However, an observation seen from the outside like this can not show whether a navigator could accept those traffic environment. Then a method putting oneself in navigator's place is necessary to assess maritime traffic environment, and further, a computer simulation model should be construct as a useful tool to estimate an influence of a future plan according with construction projects at sea area; like the Akashi Kaikyo Bridge which is the longest suspended bridge in the world.

Fig. 3 An example of an accumulated
tracks chart about all passing vessels
in one day.

 

Fig.4 An example of a traffic density
chart. (ships per one square kilometer)

 

3. SIMULATION MODEL TO MAKE UP MARITIME TRAFFIC FLOW

If there were no obstacles, vessels would go straight to their destinations. When a collision would occur, a navigator maneuvers his vessel to avoid the collision while he takes navigable water into account. That is to say, the movement of each vessel is fundamentally linear, but spreads over a two-dimensional area in case of necessity. Starting from this standpoint, a simulation model was constructed. In order to faithfully reproduce the maritime traffic flow, five sub-models were built up successively.(1)

 

3.1 SUB-MODEL 1: ROUTE PLANNING

 

 

 

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