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WTO accession for China's container shipping industry provides a good opportunity for development, a major container port throughput rising at the same time, a common problem encountered by the port operators: shipping companies to reduce costs, require port in ship large-scale development at the same time or ahead of, and improve the handling ability of large container vessels, reducing the amount of the ship to stay in Hong Kong, ship loading and unloading boats, port operators, on the other hand, in order to attract the ship anchored, it is necessary to provide the most competitive handling efficiency and service content, and minimize the port operational costs, improve the competitiveness of enterprises. This problem involves not only the port channel and quay depth, pier cutting-edge machinery and equipment quantity and performance and handling technology and efficiency, but also related to the collection and distribution container port match conditions, multimodal transport organization and management and policy environment of the port many problems. This thesis is mainly concentrated in the port transportation equipment optimized scheduling this point, the development and application of GIS and its many advantages, the research of this subject with the development of theoretical and practical value. First described the purpose and significance of the research projects, systematic analysis of the current technology at home and abroad, and a brief description of the three aspects of the research objectives, research content and key technologies of the system were made. Followed by several introduces the basic concepts of geographic information system and geographic information system data management methods on component GIS (ComGIS), the concept, the basic idea and developed implementation method based on ComGIS research and detail a typical ComGIS product MO. Third, on the theoretical basis of the algorithm design and analysis detailed narrative introduces commonly used algorithm for solving the shortest path problem: 库鲁斯卡尔 (Kruskal) algorithm, Princeton (Prim) algorithm and Daikeside pull (Dijkstra) algorithm. Fourth, the scheduling system requirements analysis as well as hardware and software configuration, the overall design as well as the basic functions of these three aspects are discussed and detailed scheduling system interface design and basic GIS functions to achieve given the part of the code. Fifth, equipment scheduling problem described and experimental analysis, and in particular to optimize the scheduling path optimization problem, and combined with the actual situation of the container port road network and urban road network gives the experimental results and evaluation analysis . Finally, a brief description of the results achieved by the subject and some problems, as well as the future development direction.
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