Expressway has become an important mode of transportation, but the natural environment along the highway has also been greatly damaged. There are many unreasonable aspects in the highway design in many nature reserves and scenic spots. In this paper, the expressway from section A to section B of a province was taken as the research object. Through collecting the data of geological environment, natural environment and human environment along the expressway, the analytic hierarchy process (AHP) was used to analyze the influencing factors of expressway design in the natural environment protection zone. In this paper, the optimization design model of expressway in natural environment protection area was established by combining neural network (NN for short here). The results show that the route length, subgrade width, bridge and culvert length and tunnel length optimized by the NN model were 92km, 18m, 14km and 11km respectively under the same other conditions. The route length, subgrade width, bridge and culvert length and tunnel length optimized by the traditional model were 98km, 19m, 16km and 14km respectively. The data of the former was obviously superior to that of the latter, which showed that the relationship between NN and highway optimization design in natural environment protection areas was positive.

África de la Hera-Portillo. Optimization Design of Expressway in Natural Environment Protection Area Based on Neural Network. Nature Environmental Protection (2023), Vol. 4, Issue 2: 1-9. https://doi.org/10.38007/NEP.2023.040201.

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