Optimization of the Shunting Operation Plan at Electric Multiple Units Depots
The number of standard electric multiple units (EMUs) in China has increased from 1003 in 2013 to 3256 in 2018. For maintaining all EMUs in time, the high-speed rail system with the fast-developing number of EMUs is facing growing pressure. The maintenance and cleaning capacity of an EMU depot can b...
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Wiley
2019-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2019/9120239 |
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author | Jintang Shi Haodong Li |
author_facet | Jintang Shi Haodong Li |
author_sort | Jintang Shi |
collection | DOAJ |
description | The number of standard electric multiple units (EMUs) in China has increased from 1003 in 2013 to 3256 in 2018. For maintaining all EMUs in time, the high-speed rail system with the fast-developing number of EMUs is facing growing pressure. The maintenance and cleaning capacity of an EMU depot can be improved by a better shunting operation planning (SOP). This paper considers an SOP problem at EMU depots, which may have two types of yards, namely, stub-end and through. Every track at an EMU depot has two sections and can accommodate two short standard EMUs of 8 railcars or one long EMU of 16 railcars. As the SOP is currently handled manually by dispatchers, this paper proposes two integer linear programming models for two types of yards for daily planning and dispatching, which aim at minimizing the total delay time of all EMUs during the planning horizon. A Reduced Variable Neighborhood Search (RVNS) algorithm is designed to improve the solution efficiency. The results of the numerical experiment show that the RVNS algorithm can yield an optimal maintenance plan in a few seconds for depots of different layout types and can be applied to a computer-aided planning system. The track utilization rate of the maintenance yard with the stub-end type is higher than that of the through type. The stub-end type may be more suitable for the current schedule, as its total track utilization rate is much lower than the through type. |
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id | doaj-art-1d94488c183c4cd18c28d6f4b34eef2e |
institution | Kabale University |
issn | 0197-6729 2042-3195 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
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series | Journal of Advanced Transportation |
spelling | doaj-art-1d94488c183c4cd18c28d6f4b34eef2e2025-02-03T01:10:23ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/91202399120239Optimization of the Shunting Operation Plan at Electric Multiple Units DepotsJintang Shi0Haodong Li1School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaThe number of standard electric multiple units (EMUs) in China has increased from 1003 in 2013 to 3256 in 2018. For maintaining all EMUs in time, the high-speed rail system with the fast-developing number of EMUs is facing growing pressure. The maintenance and cleaning capacity of an EMU depot can be improved by a better shunting operation planning (SOP). This paper considers an SOP problem at EMU depots, which may have two types of yards, namely, stub-end and through. Every track at an EMU depot has two sections and can accommodate two short standard EMUs of 8 railcars or one long EMU of 16 railcars. As the SOP is currently handled manually by dispatchers, this paper proposes two integer linear programming models for two types of yards for daily planning and dispatching, which aim at minimizing the total delay time of all EMUs during the planning horizon. A Reduced Variable Neighborhood Search (RVNS) algorithm is designed to improve the solution efficiency. The results of the numerical experiment show that the RVNS algorithm can yield an optimal maintenance plan in a few seconds for depots of different layout types and can be applied to a computer-aided planning system. The track utilization rate of the maintenance yard with the stub-end type is higher than that of the through type. The stub-end type may be more suitable for the current schedule, as its total track utilization rate is much lower than the through type.http://dx.doi.org/10.1155/2019/9120239 |
spellingShingle | Jintang Shi Haodong Li Optimization of the Shunting Operation Plan at Electric Multiple Units Depots Journal of Advanced Transportation |
title | Optimization of the Shunting Operation Plan at Electric Multiple Units Depots |
title_full | Optimization of the Shunting Operation Plan at Electric Multiple Units Depots |
title_fullStr | Optimization of the Shunting Operation Plan at Electric Multiple Units Depots |
title_full_unstemmed | Optimization of the Shunting Operation Plan at Electric Multiple Units Depots |
title_short | Optimization of the Shunting Operation Plan at Electric Multiple Units Depots |
title_sort | optimization of the shunting operation plan at electric multiple units depots |
url | http://dx.doi.org/10.1155/2019/9120239 |
work_keys_str_mv | AT jintangshi optimizationoftheshuntingoperationplanatelectricmultipleunitsdepots AT haodongli optimizationoftheshuntingoperationplanatelectricmultipleunitsdepots |