Method and system for identifying road intersection steering based on vehicle data collection

Abstract

The invention discloses a method for identifying road intersection steering based on vehicle data collection. The method comprises the steps that S1, a traveling data sequence is transmitted to a data service center by a vehicle-mounted information terminal; S2, the traveling data and road intersection section information which are successfully matched are added to a road intersection section information set in a relevant mode and are stored by a data service center; S3, a history traveling track of a road intersection section is obtained according to the traveling data, a directed attribute relationship graph is generated according to the history traveling track, a GIS module is called to be matched with the directed attribute relationship graph so that steering information corresponding to the intersection section can be obtained; S4, the steering information corresponding to the intersection section can be counted and analyzed according to periods of time so that the counted result in each period of time can be obtained, and according to the counted result in a preset time span, specific steering information corresponding to the road intersection section can be identified. The invention further provides a system for identifying road intersection steering based on vehicle data collection.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a road intersection steering recognition method and system based on vehicle data collection. Background technique [0002] With the advancement of urbanization, many cities are also troubled by traffic congestion to varying degrees. In order to maximize the traffic capacity of road resources and ease the traffic pressure on urban roads, the public security traffic management department Implement measures to restrict turning by time period and vehicle type, and specific steering restriction measures, such as prohibiting left turns and prohibiting right turns by time periods and vehicle types. However, in the driving data provided by map data manufacturers, the specific turning information of road intersections is often not accurately provided, and the navigation information is prone to be inaccurate. The cycle is long, and the update cost is high, so it is impossible to real...

AI Technical Summary

Problems solved by technology

However, in the driving data provided by map data manufacturers, the specific turning information of road intersections is often not accurately provided, and the navigation information is prone to be inaccurate. The cycle is long, and the update cost is high, so it is impossible to realize the automatic identification of steering information at road intersections

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