城市轨道交通站点分布优化模型与算法

为解决最优平均站间距在实际布设站点时指导作用不明显的问题,提出城市轨道交通站点分布优化模型与算法.首先定义了城市半径,然后将城市分为3种形态,线路分为两类,分别建立基于城市规模的轨道交通平均站间距模型,并进行了求解.根据线路途经区域能否建设站点,将线路分为障碍区、连接区和可行区,确定可行域.根据站点客流量及线路途径区域的功能布局将站点分为3个等级,建立求解站点位置模型.最后以长春轻轨4号线进行实例分析,结果表明:模型能够求解最优平均站间距,并确定每个站点的布设位置.与既有站点比较分析,模型求解的站点分布将轻轨4号线高峰小时运能提高了6个百分点.

Model and algorithm optimization of the site distribution of urban rail transit station

To solve the problem that the optimal average station spacing guidance does not play a significant role in the actual layout of the stations, the model and algorithm optimization of the site distribution of urban rail transit station is proposed. Firstly the city radius is defined, and the city was divided into three types, and rail transit lines was divided into two types, the rail transportation average station distance model was established and solved based on the city scale, respectively. The line was divided into obstacles, connected region and the feasible region, according to the area line through is constructly or not. And then the stations was divided into three grades according to the station passenger flow and the functional layout of the area line through. Station location model was established and optimized. Finally, the optimal average station spacing and each site layout position can be solved by proposed model, in the case of Changchun light rail line 4. Light rail line 4 peak hour capacity was increased by 6%, site distribution of the model compared with the existing site.