Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track Faults
To solve the problem of track failure in railway system, integrative design of an emergency resource forecasting-scheduling-repairing method is proposed in this paper. In the current railway repair process, resource dispatching centers dispatch transport resources to the fault point for the repair w...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8882224/ |
| _version_ | 1818444490686332928 |
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| author | Dongmei Yuan Zhigang Lu Jiangfeng Zhang Xueping Li Boyan Jia Tianxiang Ma |
| author_facet | Dongmei Yuan Zhigang Lu Jiangfeng Zhang Xueping Li Boyan Jia Tianxiang Ma |
| author_sort | Dongmei Yuan |
| collection | DOAJ |
| description | To solve the problem of track failure in railway system, integrative design of an emergency resource forecasting-scheduling-repairing method is proposed in this paper. In the current railway repair process, resource dispatching centers dispatch transport resources to the fault point for the repair work. In order to optimize this process, a hybrid prediction method consisting of radial basis function neuron network (RBFNN) and expert prediction method to rationally predict repair resources is proposed. In order to optimize the resource transportation path and reduce the transportation cost, a bi-objective resource scheduling method is presented in this paper. A fuzzy evaluation method combining with the prospect theory to optimally select the repairing for the repair work is formulated. Finally, experiment studies are carried out and the results illustrate the effectiveness of the proposed method. |
| first_indexed | 2024-12-14T19:16:46Z |
| format | Article |
| id | doaj.art-3b49e38e440641c199fcf1792ea27b08 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T19:16:46Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3b49e38e440641c199fcf1792ea27b082022-12-21T22:50:34ZengIEEEIEEE Access2169-35362019-01-01715568615570010.1109/ACCESS.2019.29492898882224Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track FaultsDongmei Yuan0Zhigang Lu1https://orcid.org/0000-0003-2777-2193Jiangfeng Zhang2Xueping Li3https://orcid.org/0000-0003-3047-367XBoyan Jia4Tianxiang Ma5Institute of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaInstitute of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaDepartment of Automotive Engineering, Clemson University, Greenville, SC, USAInstitute of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaState Grid Hebei Electric Power Research Institute, Shijiazhuang, ChinaState Grid Hebei Electric Power Research Institute, Shijiazhuang, ChinaTo solve the problem of track failure in railway system, integrative design of an emergency resource forecasting-scheduling-repairing method is proposed in this paper. In the current railway repair process, resource dispatching centers dispatch transport resources to the fault point for the repair work. In order to optimize this process, a hybrid prediction method consisting of radial basis function neuron network (RBFNN) and expert prediction method to rationally predict repair resources is proposed. In order to optimize the resource transportation path and reduce the transportation cost, a bi-objective resource scheduling method is presented in this paper. A fuzzy evaluation method combining with the prospect theory to optimally select the repairing for the repair work is formulated. Finally, experiment studies are carried out and the results illustrate the effectiveness of the proposed method.https://ieeexplore.ieee.org/document/8882224/Railway system failureresource schedulingemergency repairhybrid predictionfuzzy evaluation |
| spellingShingle | Dongmei Yuan Zhigang Lu Jiangfeng Zhang Xueping Li Boyan Jia Tianxiang Ma Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track Faults IEEE Access Railway system failure resource scheduling emergency repair hybrid prediction fuzzy evaluation |
| title | Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track Faults |
| title_full | Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track Faults |
| title_fullStr | Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track Faults |
| title_full_unstemmed | Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track Faults |
| title_short | Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track Faults |
| title_sort | integrative design of an emergency resource predicting scheduling repairing method for rail track faults |
| topic | Railway system failure resource scheduling emergency repair hybrid prediction fuzzy evaluation |
| url | https://ieeexplore.ieee.org/document/8882224/ |
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