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Research On The Generation Of Vessel Traffic Flow Based On MT Random Number Generator

Posted on:2021-04-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y B ChengFull Text:PDF
GTID:2392330629480673Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
Simulation of ship traffic flow is a technology to track and describe the changes of ship motion with time and space.It has the advantages of not limited by time and space conditions,low experimental cost,repeatable and so on.Research on the generation of ship traffic flow is an important part of ship traffic flow modeling and simulation,which is related to the simulation results and performance parameters.With the continuous development of marine transportation industry,the number and tonnage of ships are increasing,and the ship industry is becoming larger,which changes the distribution of marine traffic flow.In order to improve the ship traffic flow simulation system and make the simulation results more close to the actual situation,I propose the idea of combining the channel model and the ship traffic flow generation model to study the ship traffic flow generation.The main work of this paper is as follows:1)Collect and process AIS information to lay a data foundation for the analysis of ship's main attributes2)The main attributes of ships,such as ship type,ship size,ship speed,ship arrival rule and time-interval between ships,are statistically analyzed,and the distribution rule is fitted by point statistics and histogram method.3)The Douglas-Peucker algorithm is used to compress the ship trajectory data,calculate the Hausdorff distance between the trajectories,construct the similarity matrix,and use DBSCAN algorithm to cluster the trajectories;the statistical clustering results are used to draw the flow direction diagram of the ship flow.4)Design algorithms,generate simulated traffic flow data,assign channels according to selected probabilities,and verify simulation results.The relative error in the number of ships generated by the simulation is close to 10%.The mean and variance of the attributes such as ship type,ship size,ship speed,ship arrival rule and time between ships are not significantly different from actual data.The trajectory is close,indicating that the method of generating simulated ships is effective.
Keywords/Search Tags:Accounting Information Systems(AIS), Vessel trajectories clustering, Mersenne Twister random number generator, Waterway model, ship generation model
PDF Full Text Request
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