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A high-speed train intelligent dispatching control method and system

A technology of intelligent scheduling and control methods, applied in neural learning methods, data processing applications, prediction and other directions, can solve problems such as train conflicts, and achieve the effect of solving train delays, shortening delay time, and improving travel experience

Active Publication Date: 2022-02-01
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a high-speed train intelligent dispatching control method and system, which can intelligently output the optimal dispatching adjustment strategy of the train, and when the train is delayed, the train is dispatched and controlled according to the optimal dispatching adjustment strategy , can shorten the delay time of the train, effectively solve the problem that the existing manual scheduling method is easy to cause train conflicts and deadlocks, and expand the range of train delays, extend the delay time of the train, and improve the travel experience of passengers

Method used

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  • A high-speed train intelligent dispatching control method and system
  • A high-speed train intelligent dispatching control method and system
  • A high-speed train intelligent dispatching control method and system

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Embodiment 1

[0034] figure 1 A scene of dense train operation in the station is described when there is a delay. At this time, train k 1 can only choose to drive into the left front section ii, and k 2 have to wait k 1 Only after leaving section i can we continue to move forward. In addition, although section iii is free at this time, k 5 have to wait k 6 Drive through section iii first, otherwise it will cause deadlock. It can be seen that when train delays lead to intensive train operation in the station, the complexity of train scheduling will increase significantly. appears as figure 1 In the case shown, the scheduling adjustment can not only consider the occupancy of adjacent sections and directly dispatch trains, but also needs to consider the mutual influence of multiple trains on the surrounding sections. If this process is only controlled by manual scheduling based on experience, it is difficult to ensure efficiency, and it is not easy to directly find out the optimal sche...

Embodiment 2

[0099] Such as Figure 8 As shown, this embodiment shows a high-speed train intelligent dispatching control system, which specifically includes:

[0100] The historical operation data acquisition and storage module M1 is used to acquire and store the historical operation data of the train; specifically includes:

[0101] The actual performance operation information acquisition unit M1-1 is used to obtain the actual performance operation information of the train by using the train operation management dispatching subsystem;

[0102] The historical operation data acquisition unit M1-2 is used to classify and process the actual performance operation information into four parts, namely (S k , A i ,R,S k '), and store it to obtain the historical operation data;

[0103] Among them, (S k , A i ,R,S k ') indicates that train k is in the current state S k Execute the scheduling action A issued by the dispatcher i Then enter the next state S k ’ and get a return value R, S k...

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Abstract

The present invention relates to a high-speed train intelligent dispatching control method and system, belonging to the field of high-speed train dispatching. The method includes: acquiring and storing historical operating data of trains; establishing a Q-Evaluate Net structure model according to the historical operating data; Operating data is set up Q-Target Net structural model; The DDDQN model that is formed by described Q-Evaluate Net structural model and described Q-Target Net structural model is trained, obtains the optimized DDDQN model; The current state information input of train To the optimized DDDQN model, the optimal execution action of the train in the current state is obtained, and the train is scheduled and adjusted according to the optimal execution action, thereby avoiding the occurrence of train conflicts and deadlocks, and effectively shortening the time of the train. The delay time improves the travel experience of passengers.

Description

technical field [0001] The invention relates to the field of high-speed train dispatching, in particular to an intelligent dispatching control method and system for high-speed trains based on neural network reinforcement learning. Background technique [0002] In recent years, my country's high-speed railway system has developed rapidly, and the operating mileage and passenger and freight volume have been increasing steadily. With the gradual acceleration of the construction of my country's high-speed railway network, the demand for high-speed railway traffic is also increasing rapidly, making the operation of trains on the line more intensive. The operation of trains will inevitably be delayed due to unexpected events such as bad weather and mechanical failures, which will lead to changes in the original train route plan, arrival and departure time, and time occupied by the section. Under such conditions, the delay of one train will often cause the delay of multiple trains...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/30G06N3/04G06N3/08
CPCG06Q10/04G06Q10/06312G06Q50/30G06N3/084G06N3/045
Inventor 阴佳腾吴卫宿帅宁晨鹤杨立兴唐涛
Owner BEIJING JIAOTONG UNIV