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Bus real-time arrival prediction method, device and equipment based on machine learning algorithm

A technology of machine learning and public transportation, applied in the field of intelligent transportation, can solve the problem of low accuracy

Active Publication Date: 2021-03-16
广州交信投科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the current real-time bus arrival prediction method can only guarantee the accuracy of the prediction in the peak time period, and the accuracy of the arrival time prediction in the peak time period is low.

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  • Bus real-time arrival prediction method, device and equipment based on machine learning algorithm

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Embodiment Construction

[0034] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0035] The bus arrival prediction method based on machine learning algorithm provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the client 101 communicates with the server 102 through the network, and the server 102 may be a real-time prediction system for realizing bus arrival time prediction. The user can initiate a request for bus arrival time prediction to the server 102 through the client 101, and the server 102 can respond after receiving the request, and find the real-time traffic information and historica...

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Abstract

The invention relates to a bus real-time arrival prediction method and device based on a machine learning algorithm, computer equipment and a storage medium. The method comprises the steps: enabling aserver to determine real-time traffic information and historical traffic information matched with an arrival duration prediction request in response to the arrival duration prediction request initiated by a client for a to-be-predicted bus; inputting the real-time traffic information into a preset peak discrimination model, and outputting to obtain a peak state identifier matched with the arrivaltime prediction request according to the peak discrimination model; and inputting the peak state identifier, the real-time traffic information and the historical traffic information into a preset arrival prediction model, outputting according to the arrival prediction model to obtain arrival prediction duration of the to-be-predicted bus, and returning the arrival prediction duration to the client. By adopting the method, the accuracy of the arrival prediction duration obtained in the peak state can be improved.

Description

technical field [0001] The present application relates to the technical field of intelligent transportation, in particular to a method, device, computer equipment and storage medium for real-time bus arrival prediction based on machine learning algorithms. Background technique [0002] With the development of intelligent transportation technology, there is a technology that applies machine learning algorithms to bus arrival prediction. This technology usually builds a station arrival prediction model based on the travel time of the road section and the historical driving time data of the bus. Bus arrival prediction, by inputting the real-time bus operation information into the arrival prediction model, so as to realize the prediction of the bus arrival time. [0003] However, the current real-time bus arrival prediction method can only guarantee the accuracy of the prediction in the peak time period, and the accuracy of the arrival time prediction in the peak time period is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06Q10/04G06Q10/06G06Q50/26
CPCG06Q10/04G06Q10/067G06Q50/26G08G1/0125
Inventor 陈欢罗建平杨森彬李志武陈招帆黄钦炎梁娜
Owner 广州交信投科技股份有限公司
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