Robust optimization for a multiple-priority emergency evacuation problem under demand uncertainty

被引:0
作者
Ming Yang
Yankui Liu
Guoqing Yang
机构
[1] College of Mathematics and Information Science, Hebei University, Hebei, Baoding
[2] School of Management, Hebei University, Hebei, Baoding
来源
Journal of Data, Information and Management | 2020年 / 2卷 / 4期
基金
中国国家自然科学基金;
关键词
Cell transmission model; Demand uncertainty; Emergency evacuation; Multiple priority; Robust optimization;
D O I
10.1007/s42488-019-00018-7
中图分类号
学科分类号
摘要
This study examines a multiple-priority emergency evacuation optimization problem with time-dependent demand uncertainty. A multiple-priority dynamic traffic model—namely, the multiple-priority cell transmission model (MPCTM) —is developed to simulate the priority of network flows for emergency evacuation response. Moreover, a robust optimization approach is applied to formulate such an emergency evacuation response problem. The robust counterpart solutions of the proposed uncertainty model have been shown to be tractable, using the duality theorem. Finally, a real example of Ya’an earthquake emergency evacuation planning verifies the effectiveness of the proposed MPCTM. © Springer Nature Switzerland AG 2019.
引用
收藏
页码:185 / 199
页数:14
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