Road network important intersection extraction method based on floating car data

A technology of important intersections and floating car data, which is applied in the field of extracting important intersections of the road network based on floating car data, can solve the problem of fewer urban intersections, and achieve the effect of large data volume, reduced complexity, and wide space-time range

Active Publication Date: 2017-09-15
SUN YAT SEN UNIV
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are few related studies based on urban intersections, and researchers are cu

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Road network important intersection extraction method based on floating car data
  • Road network important intersection extraction method based on floating car data
  • Road network important intersection extraction method based on floating car data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be further described below in conjunction with the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0032] The data used in the present invention are Guangzhou GIS road network data and floating car data from March 3, 2014 to March 9, 2014, including 3,119 road sections and 3,327,476 original travel records. The specific operation steps are:

[0033] Step 1: Extract road network intersection data, and refine and classify the extracted results. In the process of extracting road network intersections, the connection characteristics of each intersection and road section in practice are mainly considered, and the nodes with more than 2 connected road sections in the road network are regarded as intersections, and a total of 1699 intersections are obtained, and their spatial distribution is as follows: figure 1 ; The extracted intersections are refined and classified. The classification process combine...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a road network important intersection extraction method based on floating car data. Road network intersection data are extracted by using road network data according to the road network intersection characteristics, and the intersection types are subdivided according to the types of the road sections connected with the intersections; then O and D matching is performed on floating car traveling tracks based on the road network intersections, and the intersections closest to the traveling start and end points act as the traveling O and D; then taxi traveling route data based on the road sections are converted into the traveling data based on the intersections by using the extracted intersections; then the intersection route data are split and the traveling data are screened so as to eliminate the unreasonable data; and finally the intersection correlation is introduced to define and select the appropriate correlation parameter, the intersections having high influence on the traveling behavior are acquired under the condition that the traveling O point and D point or the OD are/is known and the difference is analyzed so as to extract the important intersections.

Description

technical field [0001] The invention relates to the technical field of traffic planning application, and more specifically, to a method for extracting important road network intersections based on floating car data. Background technique [0002] In recent years, with the travel of fine-grained datasets, new ideas have been provided for in-depth analysis of urban traffic. In traditional urban traffic analysis, road section analysis is the main focus. As an important part of urban road network, intersections are important considerations in road network planning, design and management. Good urban traffic operation must pay attention to Reasonable and effective management of intersections. In addition, due to its outstanding node performance, urban intersections are attracting more and more attention from researchers. Considering that they are important distribution centers for urban traffic flow, they are important decision-making points when travelers choose travel directions...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G08G1/01
CPCG08G1/0112
Inventor 李军张烁
Owner SUN YAT SEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap