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A Stochastic Programming Approach for Scheduling Extra Metro Trains to Serve Passengers from Uncertain Delayed High-Speed Railway Trains
المؤلفون المشاركون
Long, Sihui
Meng, Lingyun
Luan, Xiaojie
Trivella, Alessio
Miao, Jianrui
Corman, Francesco
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-16
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
The metro system is an important component of the urban transportation system due to the large volume of transported passengers.
Hub stations connecting metro and high-speed railway (HSR) networks are particularly critical in this system.
When HSR trains are delayed due to a disruption on the HSR network, passengers of these trains arriving at the hub station at night may fail to get their last metro connection.
The metro operator can thus decide to schedule extra metro trains at night to serve passengers from delayed HSR trains.
In this paper, we consider the extra metro train scheduling problem in which the metro operator decides how many extra metro trains to dispatch and their schedules.
The problem is complex because (i) the arrival of delayed HSR trains is usually uncertain, and (ii) the operator has to minimize operating costs (i.e., number of additional trains and operation-ending time) but maximize the number of served passengers, which are two conflicting objectives.
In other words, the problem we consider is stochastic and biobjective.
We formulate this problem as a two-stage stochastic program with recourse and use an epsilon-constrained method to find a set of nondominated solutions.
We perform extensive numerical experiments using realistic instances based on the Beijing metro network and two HSR lines connected to this network.
We find that our stochastic model outperforms out-of-sample a deterministic model that relies on forecasts of the delay by a range of 3–5%.
Moreover, we show that our solutions are nearly optimal by computing a perfect information dual bound and obtaining average optimality gaps below 1%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Long, Sihui& Meng, Lingyun& Luan, Xiaojie& Trivella, Alessio& Miao, Jianrui& Corman, Francesco. 2020. A Stochastic Programming Approach for Scheduling Extra Metro Trains to Serve Passengers from Uncertain Delayed High-Speed Railway Trains. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1180960
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Long, Sihui…[et al.]. A Stochastic Programming Approach for Scheduling Extra Metro Trains to Serve Passengers from Uncertain Delayed High-Speed Railway Trains. Journal of Advanced Transportation No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1180960
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Long, Sihui& Meng, Lingyun& Luan, Xiaojie& Trivella, Alessio& Miao, Jianrui& Corman, Francesco. A Stochastic Programming Approach for Scheduling Extra Metro Trains to Serve Passengers from Uncertain Delayed High-Speed Railway Trains. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1180960
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1180960
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