Real-time traffic speed prediction method, device and electronic equipment

Abstract

The present invention provides a real-time traffic speed prediction method, device, electronic equipment, and computer-readable storage medium, wherein the real-time traffic speed prediction method includes: obtaining current weather conditions and time characteristics; obtaining attribute characteristics z of each road link; obtaining each The current average speed r' on the road link, and the historical average speed r within the predetermined time range corresponding to the current weather conditions and time characteristics; obtain the current average traffic flow g' in each predetermined area of ​​the urban road network , and the historical average traffic flow g within a predetermined time range corresponding to the current weather conditions and time characteristics; according to the attribute feature z, the current average speed r', the historical speed average r, the current average traffic g', and The historical average traffic flow g, predicts the real-time traffic speed of all road links. The real-time traffic speed prediction method of the present invention can accurately predict the driving traffic speeds of different roads at different times in real time.

Description

technical field [0001] The invention relates to the field of vehicles, in particular to a real-time traffic speed prediction method, device, electronic equipment and computer-readable storage medium. Background technique [0002] The driving speed of motor vehicles on each road link accurately reflects the current traffic conditions on the road, and can be used to estimate the driving time of a given starting and ending point and evaluate the traffic load capacity of the corresponding road. Existing schemes or empirical data are used to fill in (corresponding roads 2 / 3 of the maximum allowable speed of the road as the estimated speed), or perform conventional matrix decomposition based on the historical average speed of each road link. [0003] The empirical filling method cannot reflect the specific characteristics and real-time characteristics of different roads. The conventional matrix decomposition method may cause the decomposition to obtain negative speed values ​​that...

AI Technical Summary

Problems solved by technology

[0003] The empirical filling method cannot reflect the specific characteristics and real-time characteristics of different roads. The conventional matrix decomposition method may decompose and obtain negative speed values ​​that require additional adjustments, resulting in slow iterative convergence and poor interpretability.

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