Periodic Optimization of Bus Dispatching Times and Vehicle Schedules Considering the COVID-19 Capacity Limits: A Dutch Case Study
Periodic Optimization of Bus Dispatching Times and Vehicle Schedules Considering the COVID-19 Capacity Limits: A Dutch Case Study
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考虑到 COVID-19 运力限制的公交车调度时间和车辆时刻表的定期优化：荷兰案例研究
DOI：
10.1177/03611981221114119
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发表时间：
2022-08-25
影响因子：
1.7
通讯作者：
中科院分区：
文献类型：
--
作者：
新型冠状病毒疫情对公共交通服务供应商造成严重不利影响。大多数公共交通线路的乘客量减少，而与此同时，其中一些线路的乘客需求量可能超过了大流行病造成的运力限制。本研究针对公交车调度时间的优化问题，在一个周期性滚动优化框架内，对出行时间和乘客需求的变化做出反应。这一模式允许公共交通服务提供商定期调整其公交时刻表，以避免车内拥挤超过流行病规定的容量限制。建议的模型为混合整数线性规划，考虑了车辆调度的可能变化，并试图在遵守COVID-19容量限制的同时尽量减少执行服务所需的车辆数量。从我们的模型在荷兰Twente地区的巴士2号线上实施的案例研究结果表明，重新安排行程调度时间和车辆时刻表时，潜在的收益。
The COVID-19 pandemic has had serious adverse impacts on public transport service providers. Most public transport lines exhibit reduced ridership levels while, at the same time, some of them may exhibit passenger demand levels beyond the pandemic-imposed capacity limitations. This study models the problem of bus dispatching time optimization within a periodic rolling horizon optimization framework that reacts to travel time and passenger demand variations. This model allows public transport service providers to adjust their bus schedules periodically to avoid in-vehicle crowding beyond the pandemic-imposed capacity limit. The proposed model is a mixed-integer linear program that considers the possible changes to vehicle schedules and tries to minimize the number of vehicles required to perform the service while adhering to the COVID-19 capacity restrictions. Case study results from the implementation of our model on bus Line 2 in the Twente region in the Netherlands are provided demonstrating the potential gains when rescheduling the trip dispatching times and vehicle schedules.
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