TY - JOUR
T1 - Integrated optimization of train scheduling and maintenance planning on high-speed railway corridors
AU - Zhang, Chuntian
AU - Gao, Yuan
AU - Yang, Lixing
AU - Kumar, Uday
AU - Gao, Ziyou
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/9
Y1 - 2019/9
N2 - Regular maintenances on high-speed railway facilities are performed in every night in China, and during regular maintenances, high-speed railway is not available for the sunset-departure and sunrise-arrival trains (SDSA-trains). In order to reduce the influence of regular maintenances on SDSA-trains, three operation modes are used in practice, which mainly consist of route selections between high-speed railway and normal-speed railway. In this paper, we use some linearization techniques to formulate a mixed integer linear programming (MILP) model to identify the operation modes and the timetable of SDSA-trains, by integrating the time window selection of regular maintenances on high-speed railways. The objective of the model is to minimize the total travel time of SDSA-trains. In the formulation of the model, we introduce state variables to indicate whether a train is running on high-speed railway or not, which makes it conveniently express the selection of operation modes. Based on the real data of Beijing-Guangzhou high-speed and normal-speed railway corridors in China, numerical experiments are carried out to test the proposed model and optimization method.
AB - Regular maintenances on high-speed railway facilities are performed in every night in China, and during regular maintenances, high-speed railway is not available for the sunset-departure and sunrise-arrival trains (SDSA-trains). In order to reduce the influence of regular maintenances on SDSA-trains, three operation modes are used in practice, which mainly consist of route selections between high-speed railway and normal-speed railway. In this paper, we use some linearization techniques to formulate a mixed integer linear programming (MILP) model to identify the operation modes and the timetable of SDSA-trains, by integrating the time window selection of regular maintenances on high-speed railways. The objective of the model is to minimize the total travel time of SDSA-trains. In the formulation of the model, we introduce state variables to indicate whether a train is running on high-speed railway or not, which makes it conveniently express the selection of operation modes. Based on the real data of Beijing-Guangzhou high-speed and normal-speed railway corridors in China, numerical experiments are carried out to test the proposed model and optimization method.
KW - High-speed railway
KW - Maintenance planning
KW - Sunset-departure and sunrise-arrival train
KW - Train scheduling
UR - http://www.scopus.com/inward/record.url?scp=85052095984&partnerID=8YFLogxK
U2 - 10.1016/j.omega.2018.08.005
DO - 10.1016/j.omega.2018.08.005
M3 - Article
AN - SCOPUS:85052095984
SN - 0305-0483
VL - 87
SP - 86
EP - 104
JO - Omega (United Kingdom)
JF - Omega (United Kingdom)
ER -