| Highway lane alignment design aims to be based on safety,environmental protection,and economy,while satisfying all design specifications and related index requirements.It is an important part of highway design.From the traditional traditional paper layout design method to the subsequent selection of virtual environment and road selection CAD technology,the research ideas gradually changed to the field of computer aided and artificial intelligence.The highlights are genetic algorithms,particle swarm algorithms,and ants.The introduction and deepening of many intelligent optimization algorithms,such as the group algorithm,pushed forward the development of intelligent route selection and achieved milestone progress.It has laid a solid scientific research foundation for subsequent research and is of great significance.However,the current highway linear design is still mostly based on the corresponding Auto CAD auxiliary system.Although the traditional method reduces the tedious calculation work,there are also information displays that are not intuitive and difficult to obtain in-depth information so that it is difficult to ensure the optimal result program.Problems and design efficiency and quality need to be improved.Based on this,based on the “One Belt and One Road” national strategic development needs and the broad background of the development needs of the country’s vast mountainous regions,under the premise of rationally considering the demand for high-grade highway construction in the mountains,comprehensive considerations of various complex influencing factors can be taken.At the same time,the three-dimensional intelligent aided design method for high-grade mountain roads in mountainous areas,which affects the ecological environment at the same time and satisfies the needs of people in production and life,such as traffic safety,transportation efficiency,and driving comfort,has become a research hotspot in the field of current road selection.Based on the existing research foundation of highway intelligent line selection and combined with the experience of domestic high-level highway linear design experts,this paper proposes a three-dimensional intelligent aided design method for the selection of high-grade roadway schemes in mountainous regions based on GIS system,auxiliary design module and genetic algorithm..Compared with the traditional highway route selection design,this method introduces and analyzes and considers important constraints such as elevation,slope,geology,and land features that have the characteristics of mountain line selection.It can intelligently generate a route selection channel to better resolve the mountainous regions in China.Under the condition of terrain selection of highways,the paper completed the following tasks: (1)Presented the development research status of highway intelligent line selection and the methods for optimizing the technology,discussed the significance of the research,and summed up the research contents and methods of the high-grade highway route design of mountain areas and the selection of relevant technical routes.(2)Analyzed the overall flow and knowledge characteristics of the highway route selection design.Finally,the intelligent aided design method and its optimization process and method were introduced respectively from the plane intelligent auxiliary line selection plane design and vertical section design.Combining with the related research of computer intelligence assisted technology,the overall framework of intelligent optimization studied in this paper and the related method flow of optimization work are established,and experimental construction and algorithm design are carried out.(3)Obtaining geographic information through digital photogrammetry and other means,analyzing the terrain analysis and terrain visualization in the intelligent line selection of highways,and finally obtaining highway land use information and related data based on geographical information.Arc GIS is used as a geographic information platform,Geo Database is used as a database format to establish a geographic information database,and accessibility information for route design in geographic information is obtained.(4)Introduced the basic concepts and analysis methods of the analytic hierarchy process and the genetic algorithm and the corresponding application methods.Then the optimization model of the genetic algorithm of highway alignment was studied,the assumptions and constraints of the model were defined,and the objective function was finally established.In the optimization model of the genetic algorithm,only the road construction cost,ie,the cost of the earth and stone,is taken into consideration.Finally,a constraint condition and a penalty function are established to generate a penalty function value for linear elements that do not meet the requirements of the index.(5)Using a certain mountainous area in Chongqing as the experimental area,set design indicators and control points,and use GIS’s grid analysis function to perform multi-factor grid analysis and ultimately produce the optimal cost path.Converts the cost path to a design-oriented planar guideline that passes through the control point,creating the initial plane and profile.Finally,the optimized road channel linear design scheme was generated by intercepting the DTM file between the end point and the MATLAB genetic algorithm optimization program.Intelligent aided design shortens the design cycle,improves design efficiency,and has certain application research value. |