Spatial positioning method based on passenger vehicle travel starting and ending points

Abstract

The invention discloses a space positioning method based on passenger vehicle travel starting and ending points. The space positioning method comprises the steps of obtaining vehicle networking data reported by vehicles, judging and positioning the starting and ending points of travel, positioning starting and ending point cities, and screening and merging the data. The method has the advantages that the starting point and the ending point of the commercial vehicle travel are defined, the city where the starting point and the ending point are located is found through space positioning, the vehicle is obtained according to reported Internet of Vehicles data, and positioning of the starting point and the ending point of the city is accurately recognized through cooperation of multiple kindsof software, background knowledge of the city and traffic and a data mining method; and obtaining traffic flow direction data between different cities.

Description

Technical field [0001] The present invention relates to a method based on a passenger vehicle stroke, specifically a method based on the mobile and space positioning of a commercial vehicle based on the bus network, belongs to the technical field of economic indicators. Background technique [0002] The city is a change in flow, which is dominated by some regularities; big data can help us observe the fineness of urban neighborhoods, and overlook the municipal system. The urban agglomeration is the highest spatial organization form of the urban development to the maturity stage. It means that in a specific region, generally in one large cities as the core, from more than three large cities as constituent units, relying on development of transportation and communication. The spatial organization formed by the facility network is compact, the economical connection is close, and ultimately highly integrated urban groups. [0003] Since the urban group emphasizes the close relationsh...

AI Technical Summary

Problems solved by technology

[0003] Since the urban agglomeration emphasizes the close connection between cities, it can be captured by the big data of people flow or logistics, while the existing statistical positioning methods are often captured by pure computer professionals, transportation planning professionals or economists Because there are breakpoints between each other, it is difficult to complete this work alone. Based on this, this application proposes a spatial positioning method based on the starting and ending points of passenger car travel

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