| With the implementation of national strategies such as "Western Development" and "Transportation Powerful Country",road engineering technology in mountainous cities has made considerable progress compared to the past.In the construction of mountainous city roads,the selection of the route plan for crossing mountain roads and winding mountain roads takes into account a wide range of influencing factors,not only involving construction investment costs and ecological environmental protection,but also considering meeting engineering design requirements,safety standards,and social economy.The traditional road route selection methods are mostly based on CAD auxiliary systems and the design experience of experts,and the factors considered are relatively single,there are certain subjectivity and limitations,and the design quality and efficiency of the route are also low.Therefore,in the context of the requirements of the national strategic policy and the needs of mountainous city transportation development,designing a more comprehensive road selection method that takes into account the needs of ecological environmental protection,optimal social and economic benefits,driving safety and comfort is a key subject of current research.The dissertation comprehensively analyzes the various influencing factors involved in the road route selection problem,and converts it into the actual value that can be converted in the route selection project by constructing a cost model,and transforms the multi-objective decision-making problem of route selection design into a single-objective decision-making problem.By constructing the linear optimization model of the crossing mountain road and the winding mountain road,combined with the quantum particle swarm algorithm,the optimization design of the two route schemes is realized,and the optimization results of the route schemes are compared from different angles,and the optimal route scheme is obtained.The main research work of this dissertation is as follows:(1)Collect relevant literature and materials,systematically expound the basic concepts of mountain-crossing roads and winding mountain roads,emphasize the applicable characteristics of the two route schemes,and put forward the optimization problem of the two route schemes in mountain city road construction,and set up the dissertation Research ideas and content.(2)The design principles and technical specifications of road route selection are introduced.Based on the terrain data and land use data,a three-dimensional environment model of road selection was constructed,and the visualization of route optimization schemes was realized.At the same time,the construction cost and linear design results of the route plan are discussed from the perspective of the entire life cycle of the road design.(3)It is proposed to apply the mountain-crossing tunnel to the road route design,fully considering the influence of the mountain-crossing tunnel on the route design,and construct the linear optimization model and the comprehensive cost model under the mountain-crossing road and the winding road scheme respectively.Through the analysis of road level,The process of generating the profile and elements of the longitudinal section establishes the relationship between the route optimization objective and the total objective function.(4)A route optimization method based on the combination of quantum particle swarm algorithm and corridor digital elevation model is introduced.Without considering the turning back curve and the line shape is continuous,the optimization of the plane is simplified,and the optimization of the transaction point and the optimization of the longitudinal section are transformed into the search for the best.The location of the optimal and variable slope point,and then the geometric calculation method of linear elements,lays the foundation for the realization of the optimization of the quantum particle swarm algorithm.(5)On the basis of the built model and intelligent algorithm,two route plans of crossing mountain road and winding road were optimized through engineering cases,and the applicability of the two route optimization plans were compared and analyzed from multiple angles,and the final route plan was obtained. |