铁道运输与经济2025，Vol.47Issue(4)：186-195,204,11.DOI:10.16668/j.cnki.issn.1003-1421.2025.04.19
基于无人机数据和ADP算法的铁路线路多目标优化方法
Multi-Objective Optimization Approach for Railway Alignment Based on Unmanned Aerial Vehicle Data and Approximate Dynamic Programming Algorithm
摘要
Abstract
The planning and evaluation of railway alignment schemes is a multi-objective decision-making problem,affecting engineering economics and environments.To explore the multi-objective optimization approach for railway alignment,this paper introduced a multi-objective alignment optimization approach based on engineering costs,ecological indicators,and carbon emissions.According to the high-precision geographic information data collected by unmanned aerial vehicles(UAVs),the intelligent identification of construction boundaries and ecological features was carried out through supervised classification,and the coupled constraint set including the surrounding complex environment was established.Based on an approximate dynamic programming(ADP)algorithm,the deep neural network model was introduced to realize the intelligent and fine adjustment of the alignment.The Pareto optimality principle was utilized to manage conflicts between different objectives,constructing the Pareto optimal solution in three-dimensional space to provide more decision space for decision makers.This approach has been applied to a high speed railway connection project in East China,and the results demonstrate that compared with the artificial alignment selection scheme,this approach can reduce the economic cost of railway construction by 2.28%and achieve ecological optimization and carbon emission optimization of 2.67%and 1.59%,respectively.This intelligent railway alignment selection approach can provide designers with multiple alignment options tailored to different optimization objectives,achieving a balance between economic benefits and environmental impacts of railway alignment.关键词
铁路选线/铁路线形优化/多目标动态规划/无人机数据/方案比选Key words
Railway Alignment Selection/Railway Alignment Optimization/Multi-Objective Dynamic Programming/UAV Data/Scheme Comparison分类
交通工程引用本文复制引用
洪英杰,高岩,杨书生,刘托,王平,何庆..基于无人机数据和ADP算法的铁路线路多目标优化方法[J].铁道运输与经济,2025,47(4):186-195,204,11.基金项目
四川省自然科学基金创新研究群体项目(2023NSFSC1975) （2023NSFSC1975）
四川省青年基金项目(2025ZNSFC1317) （2025ZNSFC1317）
