Road Alignment Fitting Method Evaluation Based on Multi-Factor Method

Abstract

Multi-factor evaluation was established based on the analytic hierarchy process (AHP) to analyze the advantages of different road alignment fitting methods and provide guidance on selecting linear fitting methods for road reconstruction and extension engineering. Through this evaluation system, the reliability, precision, and difficulty degree of the least squares, MATLAB, and cubic spline curve methods were evaluated. Results show that the least squares method exhibits the highest precision; the MATLAB method achieves the strongest stability; and in terms of difficulty degree, the cubic spline curve method is the simplest method. AHP is adopted to calculate the scores of the three methods. The least squares method has the highest score. The score of the MATLAB method is 61.05% that of the least squares method, whereas that of the cubic spline curve method is only 42.72% that of the least squares method. The results quantify the evaluation factors and provide suggestions for selecting an appropriate and effective road fitting method under different conditions. The results also provide a reference for evaluating road alignment methods.