基于多因素的道路线形拟合方法综合评价

发布时间：2018-07-06 11:50

本文选题：道路工程 + 拟合方法评价　；参考：《公路交通科技》2017年01期

【摘要】：为研究不同道路线形拟合方法的优缺点,对道路改扩建工程线形拟合方法选择提供一定的指导,故选取了基于GPS数据的最小二乘法、基于MATLAB的半自动线形拟合法、三次样条曲线法3种拟合方法,对这3种方法进行多因素评价。提出了基于层次分析法的多因素评价体系,对3种方法的精度、稳定性、难易性进行了探究。结果表明:最小二乘法精度最高;样条曲线法最简便;稳定性方面基于MALTLAB的半自动拟合最强。最后利用层次分析法进行拟合方法评价,最小二乘法评分最高,基于MATLAB的半自动化拟合法是基于GPS数据的最小二乘法的61.05%,三次样条曲线法是最小二乘法的42.72%。
[Abstract]:In order to study the advantages and disadvantages of different road alignment fitting methods, this paper provides some guidance for the selection of alignment fitting methods in road reconstruction and extension projects. Therefore, the least square method based on GPS data and the semi-automatic fitting method based on MATLAB are selected. Cubic spline curve method and three fitting methods were evaluated by multiple factors. A multi-factor evaluation system based on analytic hierarchy process (AHP) is proposed, and the accuracy, stability and difficulty of the three methods are explored. The results show that the accuracy of the least square method is the highest, the spline curve method is the most convenient, and the semi-automatic fitting based on MATLAB is the strongest in terms of stability. Finally, the fitting method is evaluated by AHP, the least square method is the highest, the semi-automatic fitting method based on MATLAB is the least square method based on GPS data, and the cubic spline curve method is 42.72 of the least square method.
【作者单位】：长安大学特殊地区公路工程教育部重点实验室;中交第一公路勘察设计研究院有限公司;
【基金】：“十二五”国家科技支撑计划项目(2014BAG05B01) 教育部博士点基金新教师项目(20120205120013) 交通运输部应用基础研究项目(2014319812170) 博士后科学基金项目(2016M590915)
【分类号】：U412.3

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