Train working diagram real-time adjustment method and system

Abstract

The embodiment of the invention provides a train working diagram real-time adjustment method and system. The method comprises the following steps that firstly, time reporting information of a target train is acquired, and a train working diagram is updated, wherein the time reporting information comprises a time reporting moment and a time reporting position; then a current train number plan of the target train is adjusted when the time reporting position is not the destination of the current train number plan; and finally, when the time reporting position of the target train is the destination of the operation plan of the target train, collision detection and repair between the target train and an adjacent train are carried out, and a novel train working diagram is generated. According tothe method, automatic adjustment of the train working diagram can be realized, and it is ensured that the obtained novel train working diagram is feasible; and moreover, adjusting is carried out within a certain time range through the method, and only the current time reporting train is adjusted at a time, so that the automatic adjustment of the train working diagram has real-time performance.

Description

technical field [0001] The invention relates to the technical field of urban rail transit, and more particularly, to a method and system for real-time adjustment of train diagrams. Background technique [0002] Urban rail transit system is a general term for rail transit systems such as subways, light rails, maglev trains, and suburban trains. The automatic train control system (Automatic Train Control, ATC) of the urban rail transit system is usually composed of the automatic train protection system (Automatic Train Protection, ATP), the train automatic driving system (Automatic Train Operation, ATO) and the train automatic monitoring system (Automatic Train Supervision). , ATS) composition. [0003] Train operation adjustment refers to the process of re-determining and optimizing the train operation timetable rationally when the train is disturbed and cannot run according to the original operation plan, so that the train can return to the orderly operation state as soon a...

AI Technical Summary

Problems solved by technology

[0004] At present, since the effect of manual adjustment largely depends on the dispatcher's own experience and ability, manual adjustment has great limitations, and it also increases the work intensity of the traffic dispatcher

The adjustment according to the map is a very complicated problem, and the actual effect after the adjustment is difficult to predict. In the case of relatively small train intervals, on the one hand, the delay of a train can easily spread and cause the delay of multiple trains in the future; Restricted by the front and rear trains, it is more difficult to return to the punctual time after the delay

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