基于出行效率提升的公共交通线网优化研究

Optimization Research on Public Transit Network Based on Travel Efficiency Improvement

从提升乘客整体出行效率的角度出发,构建最优化模型对城市公交线网布局进行优化.所建立的模型以公共交通线网上所有乘客出行总时耗最小为优化目标,并假设所有乘客在公共交通线网上选择耗时最少的出行路径,主要对研究区域内不同公交线路的具体路由和长度进行优化.鉴于遗传算法本身所具有的较好的全局寻优搜索能力,设计了相应的遗传算法对所建立的最优化模型进行求解.结果表明,采用所提出的优化模型,对公共交通线网进行优化,将有效减少换乘次数过多的公共交通出行和时间过长的公共交通出行换乘,减少乘客一次公共交通出行的平均时间,进而提高所有乘客的整体出行效率.

In order to improve the overall travel efficiency of passengers,the optimization model was developed to optimize the layout of urban transit network.The proposed model was established with the optimization objective of minimizing total travel time of all the passengers.It is assumed that each passenger choose the least time-consuming travel route on public transit network,then the routes and lengths of different transit lines within the survey region were optimized.In view of the excellent global searching ability of genetic algorithm,the corresponding genetic algorithm was designed to solve the established optimization model.The research results show that the proposed model can effectively reduce the transfer number and transfer time after the optimization of public transit network,which improves the overall travel efficiency of all the passengers.