Key Technologies Research Of Main Fainway VTS Decision Support Of Xiamen Port

In recent years,With the rapid development of marine economy which promoted by our country,maritime transport increasingly busy,port water vessels tend to large-scale,high-speed,intensive,which undoubtedly bring great pressure to the port VTS monitoring center.The VTS system has the capability to monitor ship dynamics and provide information,advice or instructions to ships,which can effectively control traffic flow and minimize the risk of ship traffic accidents.However,the traffic control service provided by VTS in China depend on artificial experience and labor decision a lot.With the rapid development of port traffic and computer technology,it is necessary to provide systematic support for artificial decision making.Based on this,this paper makes a preliminary exploration on improving VTS decision support function.Cellular automata technology is a new technology originating in the field of computer science and technology.The cellular automata has simple structure and flexible rules of evolution.It can simulate rich and complex phenomena through a large number of simple and discrete component interactions.The model of port water traffic flow bases on cellular automata is still at the initial stage.It bases on the simulation results of the model and establishes the VTS decision support model to support the decision of VTS regulators.The main contents of this paper include:1)Through analyzing three elements of ship traffic flow and the basic theory of cellular automata and the four cellular automata traffic flow models commonly used in road traffic flow simulation to provide the theoretical basis for the construction of traffic forecasting model and clarify the thinking in this paper.2)Making a new definition of the state of the cell by analyzing the traffic behavior of the ship in the alignment channel;establishing the mapping of the physical space and the actual location,then using the actual ship position and traffic behavior in the channel as the initial model Traffic flow;combined with the ship domain model proposed the definition of cell neighbors,the establishment of cell neighborhood model;to determine the model parameters;the final development of the port to consider the actual traffic conditions update rules for simulation prediction analysis.3)Based on the prediction results of the forecasting model to establish the VTS decision support model.By designing the interface of the VTS platform to the target ship simulation,the target ship can be added to the channel traffic forecasting model.Then the risk evaluation model is determined,the risk of the forecasting is evaluated,and the decision of the VTS supervisors is supported.4)Supporting several examples of the VTS decision application of the main channel of Xiamen Port,then making a simulation test of the model to verify its reasonable forecast data of ship traffic.Through evaluating its risk and forecasting its conclusion to provide supervisors' decision information.