Research Of Key Technology And Practical Application Of Intelligent Vessel Traffic System

VTS is a shore-based information system which is used to great effect in marine environment protection and traffic safeguard. As the rapid development of shipping business, VTS is required more advanced technology and more perfect function. For the moment, VTS can get a huge wealth of information but lacking of techniques to analyze them. The low utilization ratio of information limits greatly the development of VTS. This paper has solved the following respects:Proposed VTS integration information platform which is composed of data warehouses、integration information processing centers、intelligence decision supporting system、expert system and the interface between subsystems. This effectively improves utilization ratio of information in VTS.GIS-T is used in VTS. Firstly, the attribute information and vector information is abstracted from ENC file that was analyzed previously, and then stores into the GIS-T database. This effectively increases VTS capacity to manage and analyze spatial data and improves search speed inside the database with the aid of powerful ability of spatial data processing in GIS-T.A novel approach is proposed for ship grounding prediction based on fuzzy theory comprehensive evaluating. Firstly, the most important factors caused grounding is determined, then defining appropriate membership functions and weights; Secondly, vector information of the dangerous elements are extracted from GIS-T database while the dynamic data of the ship is updating; Finally, a geometry model for the ship and dangerous area is established and calculates the grounding risk index (GRI) based on fuzzy theory vague comprehensive evaluating. The experimental results demonstrate that GRI can accurately reflect the grounding danger along one ship’s instantaneous track and shows that is feasible and effective.Proposed a novel method, using genetic algorithm search a new route and discusses its feasibility and validity. The fitness function conformed to the following requirements:short route length, less summed turning course, no grounding danger and being in the navigation channel. The results show that it cost less and it can accelerate the convergence of the population significantly to one solution. Only changed turning points number, the solutions are very approximate and meet the requirement of this design. It shows that the approach is effective and feasible.Traffic information intelligence prediction technique is used in VTS to integrate GIS-T technique, and makes prediction of traffic data, so that the relevant departments can deploy strategy in advance. A new modeling method of self-adaption GM(1,1) is proposed to predict the traffic flow. The experimental results demonstrate that the prediction values are precision and it meet the demands of high reliability and instantaneity in VTS.