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A Robust Mixed-Integer Linear Programming Model for Mitigating Rail Transit Disruptions Under Uncertainty
Transportation Science ( IF 4.4 ) Pub Date : 2020-09-01 , DOI: 10.1287/trsc.2020.0998
Lei Xu 1 , Tsan Sheng Adam Ng 1
Affiliation  

In this paper, we propose a two-stage robust optimization framework to evaluate widely controllable commuter flow strategies that can help mitigate uncertain disruption impacts on rail transit comm...

中文翻译:

不确定性下缓解铁路交通干扰的鲁棒混合整数线性规划模型

在本文中,我们提出了一个两阶段的鲁棒优化框架来评估可广泛控制的通勤者流量策略,以帮助减轻不确定性干扰对轨道交通的影响。
更新日期:2020-09-01
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