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The Extraction And Application Of Traffic Flow Characteristics Based On AIS Data

Posted on:2020-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:C N FanFull Text:PDF
GTID:2392330602958486Subject:Nautical science and technology
Abstract/Summary:PDF Full Text Request
Despite the downturn in recent years,shipping remains a top priority for the global transportation industry,accounting for more than 80 percent of the global trade in goods.With the rapid development of the world economy and the recovery of the shipping industry in the past two years,the development of the shipping industry has provided space and opportunities.Shipping industry,as a basic and service industry of China's national economy,has played an important role in supporting and guaranteeing the development of China's economy,society and foreign trade.In ship traffic volume is increasing and constantly large and rapidness of the ship today,vessel traffic pressure,especially port vessel traffic pressure increasing,therefore,the precise from the maritime traffic environment,especially the port traffic environment to extract the traffic flow characteristics,as well as the study of traffic flow characteristics and applications in various fields,to ports,maritime authorities,shipping companies and related shipping operations and has an important role in decision making.In the early research on the characteristics of ship traffic flow,the use of artificial observation and radar observation for statistical analysis will inevitably lead to the incompleteness of statistical data,and it is difficult to accurately and accurately refine statistical data.The appearance of ship AIS data solves many problems existing in the study of early ship traffic flow characteristics,and provides new ideas and methods for the extraction and application of traffic flow characteristics.The main work of this paper is as follows:This paper will decode and process the massive AIS data and store them in the database.Based on the sorted database,the characteristics of vessel traffic flow were extracted by grid computing method,and the characteristic model of vessel traffic flow in the research waters was established.The model and AIS data were used for the research of vessel field,and the characteristics of vessel traffic flow and A*algorithm were used for the research of route planning.Because of the use of AIS data,ship size,ship type and other issues can be fully considered in the research in the field of ships,as well as the influence of different periods of fishing moratorium and fishing period on the field of ships.The conclusions drawn are more comprehensive and in line with the actual situation.On the basis of the obtained grid frequency diagram of ship domain the least square method is used to fit the ship domain,and finally the unified analytical framework of different types of ship domain is obtained.In route planning,grid frequency diagram and water depth environment diagram are extracted by grid computing method,and the environmental model of route planning is constructed together.A*algorithm is improved more reasonably to make route planning faster and more reasonable.
Keywords/Search Tags:AIS data, Traffic flow characteristics, Ship domain, Route planning
PDF Full Text Request
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