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

Abstract:

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.

Key words:railway transportation;dispatching command;intelligent dispatch;sequence-sequence(seq2seq) model;natural language processing