Urban rail scheduling method and device, electronic equipment and storage medium
A scheduling method and urban rail technology, applied in the field of artificial intelligence, can solve problems such as the inability to cope with the fluctuation and complexity of passenger flow in urban rail transit, and achieve the effect of improving the decision-making ability of train scheduling
Pending Publication Date: 2022-02-01
通号城市轨道交通技术有限公司
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Problems solved by technology
[0004] The present invention provides an urban rail dispatching method, device, electronic equipment and storage medium to solve the defects in the prior art that cannot cope with the fluctuation and complexity of urban rail transit passenger flow
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[0033] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0034] The operation of the existing urban rail transit is strictly in accordance with the operation chart, which cannot cope with the real-time changes of passenger flow, and there will be a large backlog of passengers at the station, for example: the morning and evening peak hours on weekdays, and the vacancy rate will also be high. For example: during the period after the peak of the worki...
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The invention provides an urban rail scheduling method and device, electronic equipment and a storage medium. The urban rail scheduling method comprises the steps that the train running time and the passenger scale of the current cycle of a to-be-planned route are determined; the train operation time and the passenger scale of the current cycle are input into an urban rail dispatching model to obtain the train dispatching action of the next cycle output by the urban rail dispatching model; and with the urban rail dispatching model, the optimal dispatching action is obtained through a reinforcement learning algorithm based on the sample train operation time and the sample passenger scale with the minimum passenger waiting cost and the minimum train operation cost as the target. According to the method, the device, the electronic equipment and the storage medium provided by the invention, the urban rail dispatching model after reinforcement learning is used for deciding the train dispatching action of the next cycle according to the current cycle state; the train dispatching decision-making capability of adjusting the transportation strategy in a short time in the future in real time according to the real-time change of the passenger flow volume in the urban rail transit is improved, the operation cost is reduced, and the riding experience degree of passengers is improved.
Description
technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an urban rail dispatching method, device, electronic equipment and storage medium. Background technique [0002] Urban rail transit is the backbone of urban public transportation. It has the characteristics of energy saving, land saving, large transportation capacity, all-weather, pollution-free and safe, and plays an extremely important role in the entire urban transportation network. [0003] However, in the actual operation of urban rail transit, there are often situations where the timetable does not match the actual passenger flow. In fact, the current operation of urban rail transit is basically implemented in strict accordance with the "operating chart". However, the fluctuation and complexity of urban rail transit passenger flow often make the operation diagram prepared in advance unable to meet the actual demand status, resulting in increased oper...
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IPC IPC(8): G06Q10/06G06Q50/26G06Q50/30
CPCG06Q10/0631G06Q10/0637G06Q50/26G06Q50/40
Inventor 卫亮白祎阳马苗苗赵国志贾琛
Owner 通号城市轨道交通技术有限公司