Intelligent Generation Model of Dispatching Command Based on Early- warning Text Information

被引：0
|
作者：
Peng Q. [1 ,2 ]
Hu Y. [3 ]
Lu G. [1 ,2 ]
机构：
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[2] National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu
[3] China Railway Eryuan Engineering Group Co.,Ltd., Chengdu
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2020年 / 48卷 / 09期
关键词：
Dispatching command; Intelligent dispatch; Natural language processing; Railway transportation; Sequence-sequence(seq2seq) model;
D O I：
10.11908/j.issn.0253-374x.20061
中图分类号：
学科分类号：
摘要：
An intelligent generation model of dispatching commands is proposed in this paper. The model consists of a neural network and a dispatching command modification module. A sequence-sequence (seq2seq) model based on a long-term and short-term memory(LSTM) network is built, the training is performed using early-warning text information as input into the model. Five scheduling command modification strategies are put forword and the error-prone information is modified to obtain the final scheduling command. It is shown that the model has the ability to generate dispatching commands by using early-warning text information. The introduction of a command correction module can effectively improve the quality of dispatching command generation. © 2020, Editorial Department of Journal of Tongji University. All right reserved.
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页码：1328 / 1335and1363
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