摘要
地铁线路规划是轨道交通建设的重要步骤。传统的地铁线路规划方法依赖城市地理空间、人口和出行调查数据,数据收集困难,操作复杂。该文分析了地铁线路规划的影响因素,构建了多目标地铁线路规划模型,提出基于空间启发式算法的地铁线路智能规划方法,同时确定地铁走向和站点布局。以深圳市地铁9号线为例,进行地铁线路规划模型建立与求解实验,结果表明,该方法能够高效地进行地铁线路规划。与专家方案相比,该文结果在主要站点布局、线路走向、站点数量以及站间距等方面都具有较好的一致性。
The metro is an important component of urban public transport system,which can effectively alleviate traffic congestion and improve urban spatial structure.Metro route planning is a critical step in the construction of rail transit.The traditional metro route planning relies on the reliable travel survey data,which is labor-intensive and high-cost.This paper presents a data-driven spatial optimization approach for metro route planning.First,the influencing factors of metro route planning are analyzed.Then,a multi-objective metro route planning model is built.Finally,a spatial heuristic algorithm is proposed to automatically plan the metro route direction and locate metro stations.By taking Shenzhen Metro Route 9 as an example,a metro route planning model was established and an experiment was conducted to test the performance of the proposed approach.The obtained results show that this method demonstrates a good performance in planning of metro route.Compared with the expert solution,the study shows that the results have a good consistency in the layout of main sites of metro stations,metro route directions,station count,and station spacing.
引文
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