The Research Of Road Alinement Optimizing Based On GIS Platform

Along with the sustainable development strategy of China's modernization construction in the full implementation of China's highway construction and the sustained, rapid development of the modern transportation system has been designed not only the best run-time requirements of the shortest, most investment projects in the operating cost or at least, first demand for investment in transport and access to good economic returns, second can be effective with other social and environmental factors in harmony. In this modern design concepts under the guidance of Highway Planning and Design of alignment options selected, in addition to comprehensive consideration topography, geology, hydrology and natural conditions, it must also take into account the volume of traffic, the use of project investment and highways during all user fees, environmental impact, as well as national and local planning and land-related policies. All of these actually difficult to clear the mathematical model and mathematical formulas are the only confirmed solvable.GIS-based automatic line selection, the road system can achieve on these issues, the project is a complex and systematic project, the paper mainly in the ArcGIS platform using optimization theory to achieve road line selection automation. In the course of the study using AHP and genetic algorithm combination. AHP to determine the impact of various factors coefficient, the coefficient can be as a weight assignment to the database, and ultimately as a raster picture of an important parameter. At the same time the establishment of the corresponding model ArcGIS platform using analysis and calculation functions and can create some initial path. For these paths using genetic algorithms to optimize finally be a better programme.In this paper, the corresponding two important model of a platform in the election of ArcGIS line model, and the second is in the genetic algorithm optimization model, which is the establishment of all floors of the raster image, the image establish mutual superposition, Finally, a path that raster analysis programme, which can be realized on the front of the optimization programme. In the use of genetic algorithms in the process, a new method for the formation of initial population, the method can provide a more scientific and rational and reasonable seed, this will be conducive system to produce more outstanding individual. Experimental behalf of the completion of the basic design is reasonable but there are many other areas to be improved. Papers on the practical application value, it is worth to continue to explore.