首页|基于数理统计方法的金仁桐高速公路选线研究

基于数理统计方法的金仁桐高速公路选线研究

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高速公路选线是一项技术性、综合性强,并且复杂的工作,传统的选线方法很依赖路线专业设计人员的经验.本文结合金仁桐高速公路沙角大桥段方案选线实例,首先采用传统选线方法对沙角大桥段方案进行比选,得出K线方案优于B线方案;然后采用BP神经网络和灰色关联度两种数理统计方法对路线方案进行比选,比选结果与传统选线方法一致.结果表明:1)数理统计方法在高速公路选线方面具有一定的使用价值和验证价值,为高速公路路线方案的综合比选提供了一种新方法和新思路;2)数理统计方法可以用来辅助高速公路选线设计.
Research on route selection of Jinrentong Expressway based on mathematical statistic methods
Expressway route selection is a highly technical,comprehensive,and complex task,and the traditional route selection methods heavily rely on the experience of professional route designers.This article studies the route selection process of the Shajiao Bridge section of the Jinrentong Expressway.Firstly,the traditional route selection method is used to compare the schemes,and it is concluded that the K-line scheme is superior to the B-line scheme.Then,two mathematical statistical methods,i.e.,BP neural network and grey correlation degree,are used to compare the route schemes,and the comparison results are consistent with the traditional route selection method.The results indicate that:1)Mathematical statistical methods have certain practical and validation value in express-way route selection,providing a new method and approach for the comprehensive comparison and selection of expre-ssway route schemes;2)Mathematical statistical methods can be used to assist in the selection and design of expre-ssway routes.

route selectionBP neural networkgrey relational degreeaided design

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中铁二院贵阳勘察设计研究院有限责任公司,贵州 贵阳 550002

选线 BP神经网路 灰色关联度 辅助设计

2024

贵州科学
贵州科学院

贵州科学

影响因子:0.395
ISSN:1003-6563
年,卷(期):2024.42(2)
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