Road traffic hierarchical early warning method based on dynamic traffic information

The invention belongs to the technical field of urban traffic big data mining, and specifically relates to a road traffic hierarchical early warning method based on dynamic traffic information. The method comprises the following steps: acquiring a road average speed; fusing the road average speed; n...

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1. Verfasser: CAI CHENGHAO
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention belongs to the technical field of urban traffic big data mining, and specifically relates to a road traffic hierarchical early warning method based on dynamic traffic information. The method comprises the following steps: acquiring a road average speed; fusing the road average speed; numbering, sequencing and storing the fused road average speed according to a timestamp of a sampling cycle; forecasting a road average speed of next sampling cycle based on a time sequence; and acquiring a road traffic congestion index of next sampling cycle. By adopting the traffic operation hierarchical early warning method for traffic early warning analysis, users can conveniently select and timely change a more appropriate travel route, and traffic managers simultaneously can carry out some traffic regularity studies on meso and macro levels via relevant information to formulate some specific policies. The method is compact in calculation, strong in objectiveness, flexible in calculation, wide in application an