TY - JOUR
T1 - 基于不确定旅客需求的高速铁路鲁棒列车开行方案研究
AU - Zhang, Chun Tian
AU - Qi, Jian Guo
AU - Yang, Li Xing
AU - Gao, Yuan
AU - Gao, Zi You
N1 - Publisher Copyright:
Copyright © 2022 by Science Press.
PY - 2022/2
Y1 - 2022/2
N2 - To minimize operating costs for the railway operation company, this paper formulated a robust optimization model to generate the train operation plan completely with considering the uncertainty of passenger demands (including deterministic passenger demand and fluctuation passenger demand), in which the light robustness technique was particularly applied. Specifically, the proposed model only needs the relevant parameters of the railway corridor and the distribution of passenger demands. Since it does not require an alternative set of lines, the proposed model can avoid the negative impact of the unreasonable alternative lines on the quality of the train operation plan. In addition, for computational convenience, we introduced linearization techniques to formulate an integer linear programming model. Finally, a series of numerical experiments were carried out on Wuhan-Guangzhou high-speed railway corridor to verify the effectiveness of the proposed model, where the MATLAB software with GUROBI solver was applied to obtain the optimized train operation plan. The optimized scheme can deal with the uncertainty of passenger demands and can be a reference for generating the high-speed railway train operation plan.
AB - To minimize operating costs for the railway operation company, this paper formulated a robust optimization model to generate the train operation plan completely with considering the uncertainty of passenger demands (including deterministic passenger demand and fluctuation passenger demand), in which the light robustness technique was particularly applied. Specifically, the proposed model only needs the relevant parameters of the railway corridor and the distribution of passenger demands. Since it does not require an alternative set of lines, the proposed model can avoid the negative impact of the unreasonable alternative lines on the quality of the train operation plan. In addition, for computational convenience, we introduced linearization techniques to formulate an integer linear programming model. Finally, a series of numerical experiments were carried out on Wuhan-Guangzhou high-speed railway corridor to verify the effectiveness of the proposed model, where the MATLAB software with GUROBI solver was applied to obtain the optimized train operation plan. The optimized scheme can deal with the uncertainty of passenger demands and can be a reference for generating the high-speed railway train operation plan.
KW - Light robustness
KW - Railway transportation
KW - Train operation plan
KW - Uncertainty of passenger demands
UR - http://www.scopus.com/inward/record.url?scp=85126709952&partnerID=8YFLogxK
U2 - 10.16097/j.cnki.1009-6744.2022.01.013
DO - 10.16097/j.cnki.1009-6744.2022.01.013
M3 - 文章
AN - SCOPUS:85126709952
SN - 1009-6744
VL - 22
SP - 115
EP - 123
JO - Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology
JF - Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology
IS - 1
ER -