基于遗传算法的公路自动选线与安全评价方法.

Aiming at the problems of limited search area and inadequate evaluation methods for automatic highway alignment selection junction, based on genetic algorithm, the highway alignment constraint model, automatic highway alignment optimization model and operation speed prediction model were constructed to realize automatic highway three-dimensional spatial alignment solution search and safety evaluation. The results show that the automatic alignment selection and safety evaluation method based on genetic algorithm can overcome the deficiency that alignment junction can only be searched for in a given section under the given design area, proposed technical, economic and safety conditions, and achieve the automatic convergence and optimization of the design scheme. Under the condition of alignment safety, the alignment junction can be guaranteed to be searched automatically in the proposed alignment selection area globally, which verifies the feasibility of the automatic highway alignment selection method based on genetic algorithm and improves the efficiency of the alignment selection work. The method can realize the evaluation of road alignment safety with speed consistency as the index, and improve the safety design level of the alignment selection scheme. The study can provide reference for improving the theoretical basis of automatic road alignment selection and continuing the research on automatic road alignment selection methods. [ABSTRACT FROM AUTHOR]