Method, device and equipment for bus real-time arrival prediction based on machine learning algorithm
A technology of machine learning and public transport, applied in the field of intelligent transportation, can solve the problem of low accuracy and achieve the effect of improving accuracy
Active Publication Date: 2021-11-09
广州交信投科技股份有限公司
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[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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[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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The present application relates to a real-time bus arrival prediction method, device, computer equipment and storage medium based on a machine learning algorithm. The method includes: the server responds to the arrival time prediction request of the bus to be predicted initiated by the client, determining the real-time traffic information and historical traffic information matching the arrival time prediction request; inputting the real-time traffic information into the preset peak The discriminant model, according to the output of the peak discriminant model, obtains the peak state identification matching the arrival time prediction request; inputs the peak state identification, real-time traffic information and historical traffic information into the preset arrival prediction model, and obtains the waiting time according to the output of the arrival prediction model. Predict the predicted arrival time of the bus, and return the predicted arrival time to the client. Adopting the method can improve the accuracy of the predicted arrival time obtained in the peak state.
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 ...
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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