Layout scheme of high-speed railway transfer hubs: bi-level modeling and hybrid genetic algorithm approach

作者：Tong, Lu^*; Nie, Lei; Guo, Gen-cai; Leng, Nuan-nuan; Xu, Ruo-xi

来源：Cluster Computing, 2019, 22(S5): 12551-12566.

DOI：10.1007/s10586-017-1682-x

• Layout scheme
• Transfer hub
• Bi-le,el programming model
• Passenger flow assignment
• Hybrid genetic algorithm

Layout scheme optimization of high-speed railway transfer hubs plays a significant role in guiding the compilation of train connection plan, improving the efficiency and service level of passenger transfer organization. Therefore, based on the analysis of influence factors, principles and objectives of layout scheme of transfer hubs, the optimization process is proposed. Then the bi-level programming model is formulated for the layout scheme of high-speed railway transfer hubs, where the upper-layer problem is to optimize passenger transfer hub layout scheme and the lower-layer problem is passenger flow assignment problem on railway physical network. After that, an iterative algorithm is developed between the selection of transfer hubs and passenger flow assignment, where the hybrid genetic algorithm is designed to solve passenger flow assignment problem. Finally, the performance of proposed model and algorithm is verified with Chinese Beijing-Shanghai High-speed railway related network in the year of 2016 on Matlab programming platform.

• 出版日期2019-9
• 单位北京交通大学