Prediction method and device of predicted arrival time, electronic equipment and storage medium
A technology of arrival time and prediction method, applied in the fields of map navigation, computer, and intelligent transportation, it can solve the problems of inapplicability, deviation of ETA results, affecting user experience, etc., to achieve the effect of improving accuracy, wide application and improving user experience.
Pending Publication Date: 2021-12-28
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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[0003] However, for areas with very sparse trajectories, the above method cannot be applied. Usually, the static speed limit of the road and traffic light rules are used to estimate the passing time of each route.
The disadvantage of this method is that the calculation result will not change with the change of road capacity, and because the static speed limit is the highest speed, the estimated passing time is much shorter than the actual required time, and the ETA result has a large deviation, which seriously affects user experience
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[0031] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
[0032] The technical solutions of the embodiments of the present disclosure are applied to ETA prediction scenarios, including but not limited to applications such as map navigation, intelligent transportation, and scheduling control. The ETA prediction in the embodiments of the present disclosure may be requested by any electronic device, including but not limited to a...
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The invention provides a prediction method and device for predicted arrival time and electronic equipment, and relates to the technical field of computers, in particular to the technical field of map navigation and intelligent transportation. The method comprises the following steps: receiving a prediction request of predicted arrival time, determining a requested path according to position information in the prediction request, querying passing time of the path in a corresponding time slice in mining data according to time information in the prediction request as a prediction result, and obtaining the mining data by mining historical transit time in advance according to the sparse degree of historical track data. According to the technical scheme, the ETA is optimized based on the historical trajectory data, the accuracy of the ETA prediction result can be improved, the method is particularly suitable for regions with sparse trajectories, and the user experience is improved.
Description
technical field [0001] The present disclosure relates to the field of computer technology, in particular to the field of map navigation and intelligent transportation technology. Background technique [0002] In existing map navigation scenarios, ETA (Estimated Time of Arrival) is a very important function that can help users make pre-departure decisions, and its accuracy is an important factor affecting user experience. At present, for areas with dense trajectories, the method of combining big data with machine learning can predict ETA well. [0003] However, for areas with very sparse trajectories, the above method cannot be applied. Usually, the static speed limit of the road and traffic light rules are used to estimate the passing time of each route. The disadvantage of this method is that the calculation result will not change with the change of road capacity, and because the static speed limit is the highest speed, the estimated passing time is much shorter than the a...
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IPC IPC(8): G06F16/29G06F16/2458G06Q10/04G06Q50/26
CPCG06F16/29G06F16/2465G06F16/2474G06Q10/04G06Q50/26
Inventor 刘伟民林金柱
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD