Novel train operation intelligent adjustment method

Abstract

The invention belongs to the field of railway train operation dispatching and commanding, and relates to a novel train operation intelligent adjusting method. According to the method, fault information in a disaster prevention alarm monitoring system, temporary speed limiting information sent by a driving dispatching desk and running diagram information of a train under a fault are fully utilized;a minimum operation time division calculation module is added in the RBC database and is responsible for calculating the minimum operation time division of the remaining intervals and the train operation curve with the minimum energy consumption under the time division requirement; the result is fed back to the driving dispatching desk; a running situation prediction module predicts the time foreach train to arrive at a subsequent station, and the time, the speed and the position during running in the intervals; by taking the minimum total delay time of the trains on the line as an optimization target, the departure sequence and time of each train based on a first-in first-out or reinforcement learning method are determined, offline training is carried out continuously, and after the training is completed, the training parameters are stored in the model for intelligent adjustment of the train running diagram under the influence of the delay and inhibition of delay propagation on theline.

Description

technical field [0001] The invention belongs to the technical field of railway transportation organization and railway traffic dispatching and commanding, and in particular relates to a novel intelligent adjustment method for train operation. Background technique [0002] With its fast speed, large transport capacity, simplicity and convenience, railway transportation has become one of the preferred modes of transportation for the majority of passengers. As of the end of 2019, the national railway operating mileage has reached 139,000 kilometers, including 35,000 kilometers of high-speed railways. The huge operating mileage puts forward higher automation requirements for traffic dispatching and commanding. [0003] In the prior art, in the traffic dispatching command system, when a train is delayed on the line, the traffic dispatcher will monitor and control the train in a centralized and unified manner, and the processing of the delay is mainly based on manual experience an...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of separation of data information and poor real-time update performance of each subsystem of the traffic dispatching command system in the prior art, the present invention provides a new type of intelligent adjustment method for train operation. Adjust the train diagram under the influence of faults to suppress the propagation of train delays on the line

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