Attribute Correction Method of Non-motorized Lane in Virtual Road Network Based on Shared Bicycle Trajectories

Abstract

The invention discloses a non-motor vehicle lane attribute correction method of a virtual road network based on a shared bicycle trajectory, including field processing of shared bicycle trajectory data and a multi-source data loading method, a method for obtaining a frequency distribution histogram of a shared bicycle trajectory, and a shared bicycle trajectory frequency The distribution skewness coefficient and kurtosis coefficient acquisition method, non-motor vehicle lane separation method and width discrimination method. This method can correct the error of non-motorized lane separation mode and width in the virtual road network according to the shared bicycle trajectory data, so that the urban virtual traffic system platform is more accurate and intelligent, while reducing the workload of manual correction and improving efficiency.

Description

technical field [0001] The invention relates to the field of urban road traffic management and simulation, in particular to a method for modifying attributes of non-motor vehicle lanes in a virtual road network based on shared bicycle trajectories. Background technique [0002] Urban slow traffic system includes pedestrian system and non-motor vehicle system, which is an important part of urban comprehensive traffic. The bicycle-based non-motor vehicle transportation system is of great significance to promote people-oriented, low-carbon and environmentally friendly urban transportation construction at this stage. With the further development of the innovative model combining "Internet +" and the sharing economy, shared bicycles have become an important mode of travel for urban residents. On the one hand, the shared bicycle travel mode promotes residents to choose green travel, and on the other hand, it also accumulates a large amount of original traffic data, which provides...

AI Technical Summary

Problems solved by technology

However, in the road network construction work of the urban virtual traffic system platform, the width of the non-motor vehicle lane is generally recommended by the open source electronic map, and the error is relatively large. At the same time, the information on the isolation method of some road sections is incorrect.

At present, the method of manual identification is often used to solve this problem, and the relevant materials of government departments are obtained through preliminary traffic surveys or on-the-spot measurements, and the workload is relatively large.

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