Method for analysis of prototype run route in urban traffic

Abstract

Disclosed is an analytical method for typical running routes in urban traffic, comprising steps as follows: (1) setting a road net topology structure as G = (V, E), vehicle information of every road junction at a corresponding certain time as R = (Ri|ií—(1,n)), judgment threshold of hotspot junction as k and judgment threshold of typical running route as k', (2) generating first sorting typical running routes between hotspots, which comprises obtaining a hotspot road junction aggregate by filtering road junction volume, in regard to vií—V' and Hií—H, generating a running route aggregate W' between the hotspots and obtaining a first sorting typical running route W'' by calculating the occupancy of the route according to the generated route W', (3)initially selecting the clustering of the first sorting running route and the generating of the traffic junction merger routes in every clustering aggregate according to the method to obtain the typical running route aggregate W with different particle sizes. The invention is short in processing period, low in cost and high in efficiency, and can reflect the change of the traffic conditions by calculating the typical running route.

Description

technical field The invention relates to the field of urban traffic intelligent systems, in particular to a typical driving route analysis method in urban traffic. Background technique At present, the research on urban driving routes mainly focuses on dynamically obtaining the optimal routes with known starting points and ending points. The service objects are mainly traffic travelers, and there is a lack of regular information on group travel trajectories and time required by traffic management departments. . At the same time, the research on the travel trajectory and the research on the traffic area are separated from each other, and the obtained route takes the junction node as the final form, and lacks consideration of the driving route with nodes of different granularity as the unit. Although there are currently methods to obtain group travel patterns of some urban road networks, mainly static OD analysis methods, questionnaire survey methods, etc. However, the grou...

AI Technical Summary

Problems solved by technology

In order to overcome the shortcomings of the existing urban traffic analysis methods, such as long processing period, high cost, low efficiency, and inability to reflect changes in urban traffic conditions in the existing urban traffic analysis methods,

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