Research on an Intelligent Optimization Method for Highway Route Schemes
- Changjiang Liu,
- Qiuping Wang
Changjiang Liu
Xi'an University of Architecture and Technology
Corresponding Author:lcj2012@foxmail.com
Author ProfileQiuping Wang
Xi'an University of Architecture and Technology
Author ProfileAbstract
To accurately analyze and evaluate the comparison and selection of
multi-index and multi-route highway route schemes and address the
disadvantages of traditional scheme evaluations, we focus on the
economic costs of construction and improve on previous qualitative and
quantitative analysis. A comprehensive weight and intelligent selection
algorithm are introduced into the optimization of highway route schemes.
This paper presents an evaluation index system for highway route schemes
based on the full life cycle and considering technology, the ecological
environment, the social environment and the economy. We propose an
evaluation system for highway route schemes based on a comprehensive
weight. Additionally, an optimization method for highway route schemes
based on the TOPSIS model is studied. Finally, the optimal highway route
scheme is obtained by calculation. According to the results of the
research, the construction of evaluation indexes directly influences the
results of the scheme evaluation. When established operations,
management and maintenance indexes are based on the full life cycle, the
evaluation results are more accurate. In addition to avoiding the
defects of a single weighting method, the comprehensive weight vector
uses subjective data as well as expert opinion. In addition, the
comprehensive weight vector introduces a preference coefficient so that
analysers can determine a scheme based on the accuracy of subjective and
objective information and requirements. This method uses a large number
of evaluation populations to evaluate schemes, and the result is more
objective.26 Feb 2021Submitted to Engineering Reports 26 Feb 2021Submission Checks Completed
26 Feb 2021Assigned to Editor
26 Feb 2021Reviewer(s) Assigned
07 Apr 2021Editorial Decision: Revise Major