A Method of Extracting City Guidance Area Based on Floating Car Data

Abstract

From the view of the layout of city interest point guide signs, the invention proposes a city guidance area extraction method based on floating car data. The method includes the steps of: extracting getting-on and getting-off position data of a passenger carrying path in a traveling track of a floating car, and building an OD data set; based on an improved density clustering algorithm, clustering OD data of the floating car to obtain travel hotspot clusters, and calculating the geographic positions of travel hotspots represented by the centers of mass of the hotspot clusters; performing secondary clustering on the travel hotspot mass centers to obtain a travel hotspot density packet, searches a convex set of the density packet and building hotspot areas of geometrical shapes; calculating heat degrees of hotspot areas to represent travel demand degrees, and dividing hotspot area guidance levels according to the heat degrees; and extracting interest point groups and guidance areas according to the guidance levels. The guidance areas are travel hotspot areas, and the method can provide reference for the guidance layout of city guide signs.

Description

technical field [0001] The invention relates to the fields of data extraction and road traffic planning, in particular to a method for extracting city guidance areas based on floating car data. Background technique [0002] Points of interest refer to landmarks or scenic spots on the electronic map, which are used to mark the government departments, commercial institutions, tourist attractions, historical sites and transportation facilities represented by the place. "Guidelines for the Design of Guangzhou Road Traffic Guidance Sign System Design Technology Guidelines" pointed out that it is necessary to add guide signs to important places and tourist attractions with general public service or relatively large traffic collection and distribution volume on the road, including important government Government agencies, large hospitals, key colleges, municipal commercial centers, large cultural and sports facilities, conference and exhibition centers, transportation hubs, famous ...

AI Technical Summary

Problems solved by technology

At present, the mining research on hotspot areas is mainly for the recommendation service of taxi passenger locations and travel destinations, and seldom constructs hotspot areas and extracts guidance areas from the layout of city guide signs.

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