Speed prediction method and device

Abstract

Embodiments of the invention disclose a speed prediction method and device. The method includes the steps of obtaining traffic impact parameter information of a first road section in a current time period, the traffic impact parameter information including at least one of an impact parameter of the current weather on traffic, an impact parameter of the property of a current date on traffic and an impact parameter of a special event on traffic; determining a similarity of the traffic impact parameter information with historical traffic impact parameter information of the first road section stored in a historical traffic database, and determining target historical traffic impact parameter information according to the determined similarity; and based on the speed of a vehicle corresponding to a next time period of the time period corresponding to the target historical traffic impact parameter information and stored in the historical traffic database, predicting a corresponding first speed of the vehicle on the first road section in the next time period.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a speed prediction method and device. Background technique [0002] With the continuous development of the economy, traffic congestion has become a major social problem. At present, it has been able to realize real-time broadcast of road conditions, and users who use vehicles to travel can change routes that are less congested as much as possible according to the real-time broadcast of road conditions. [0003] However, the prevention of traffic congestion should be the first priority, and the existing technology cannot predict the road conditions in the next time period. Only real-time broadcast of road conditions cannot accurately guide users who use vehicles to change routes. For example, vehicles on a road section are driving smoothly in the current time period, but it may be very congested in the next time period. Therefore, it is very necessary to predict the vehi...

AI Technical Summary

Problems solved by technology

[0003] However, the prevention of traffic congestion should be the first priority, and the existing technology cannot predict the road conditions in the next time period

Real-time broadcasting of road conditions alone cannot accurately guide users using vehicles to change routes. For example, vehicles on a road section are driving smoothly at the current time period, but it is possible that the next time period will be very congested

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