基于BP神经网络的全寿命周期成本计算模型在道路选线比选中的应用——以陕西省西安市某高速公路工程项目为例

Application of Life Cycle Cost Calculation Model in Road Route Comparison and Selection Based on BP Neural Network——Taking an Expressway Engineering Project in Xi’an, Shaanxi Province as an Example

文章讨论全寿命周期成本在路线方案比选中的应用经济性。经济性是道路选线中的一个重要标准,也是建设单位和施工单位投资建设道路的重要参考依据。合理的道路选线造价能使道路创造更大的价值,如有助于在特定路段之间分配有限资金,或节省维持公路网处于可用状态所需的资金总额。因此,文章依托陕西省西安市某高速公路工程项目,利用道路选线过程中的经济性考量,基于BP神经网络构建了一种全寿命周期成本计算模型用于道路选线,分析了其在道路路线方案比选中的应用价值。此研究不仅为该道路路线方案比选提供了数据支撑,还具有较大的理论价值和实际应用价值,可供类似工程借鉴。

This paper discusses the application economy of life cycle cost in route scheme comparison and selection.Economy is an important criterion in road route selection,and also an important reference for construction units to invest in road construction. Reasonable road route selection cost can make the road create greater value, such as helping to allocate limited funds among specific road sections, or saving the total amount of funds needed to maintain the road network in a usable state. Therefore, based on a expressway engineering project in Xi’an, Shaanxi Province, this paper uses the economic considerations in the process of road route selection to construct a life cycle cost calculation model for road route selection based on BP neural network, and analyzes its application value in road route scheme comparison and selection. This research not only provides data support for the comparison and selection of the road route scheme,but also has great theoretical value and practical application value, which can be used as reference for similar projects.