Title | ||
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Train Time Delay Prediction for High-Speed Train Dispatching Based on Spatio-Temporal Graph Convolutional Network |
Abstract | ||
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Train delay prediction can improve the quality of train dispatching, which helps the dispatcher to estimate the running state of the train more accurately and make reasonable dispatching decision. The delay of one train is affected by many factors, such as passenger flow, fault, extreme weather, dispatching strategy. The departure time of one train is generally determined by dispatchers, which is ... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TITS.2021.3097064 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Delays,Predictive models,Rail transportation,Dispatching,Mathematical model,Data models,Analytical models | Journal | 23 |
Issue | ISSN | Citations |
3 | 1524-9050 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dalin Zhang | 1 | 7 | 3.62 |
Yunjuan Peng | 2 | 0 | 0.34 |
Yumei Zhang | 3 | 10 | 7.91 |
Daohua Wu | 4 | 3 | 1.78 |
Hongwei Wang | 5 | 86 | 14.22 |
Hailong Zhang | 6 | 0 | 0.34 |