基于离散萤火虫算法的轨道交通车站建筑内部空间设计优化

传统轨道交通车站建筑内部空间设计优化方法直接对客流量分布进行计算未对车站内部功能进行分区,造成传统方法客流通行延误时间较长。提出基于离散萤火虫算法的轨道交通车站建筑内部空间设计优化。对车站内部功能进行分区,根据轨道交通车站分区,基于离散萤火虫算法进行进一步的客流量分布,从而实现轨道交通车站建筑内部空间优化设计。设计对比实验,实验结果表明该方法具有更好的轨道交通车站建筑内部空间客流运输能力,值得推广。

Optimization of Internal Space Design of Rail Transit Station Based on Discrete Firefly Algorithm

The traditional optimization method of the internal space design of rail transit station directly calculates the passenger flow distribution without zoning the internal function of the station, which results in long delay time of passenger flow. A discrete Firefly algorithm approach to the design optimization of the internal space of rail transit station buildings was proposed. The internal function of the station was partitioned and the passenger flow was further distributed based on the discrete firefly algorithm according to the rail transit station partition, so as to realize the optimal design of the internal space of the rail transit station building. The experimental results show that this method has better capacity of passenger flow in the inner space of rail transit station and is worth popularizing.