Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Map matching method of floating car data

A floating car data, map matching technology, applied in instruments, measuring devices, traffic flow detection, etc., can solve problems such as low sampling frequency

Active Publication Date: 2014-12-17
WUHAN UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention proposes a high-efficiency and high-precision floating car data map matching method to solve the real-time matching problem of large-scale and low sampling frequency floating car data

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
  • Map matching method of floating car data
  • Map matching method of floating car data
  • Map matching method of floating car data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The processing object of the present invention is large-scale, low-sampling frequency, and small-information floating car data in urban traffic road networks; online real-time map matching and trajectory restoration of large-scale low-frequency floating car data can be realized. The technical solution of the present invention can adopt computer software technology to realize the automatic operation process.

[0029] The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0030] Such as figure 1 , the input data of this method is the GPS trajectory data and road network data of the floating car, the GPS trajectory data is composed of a series of GPS points sorted in chronological order, and each GPS point is composed of longitude and latitude coordinates p i and time point t i Composition, the embodiment uses the vehicle identification field VehicleID to distinguish the trajectories of differ...

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 relates to a map matching method of floating car data. An optimal matching path is guaranteed and an alternative path set of each global positioning system (GPS) point is minimized at the same time by means of multistandard dynamic planning technology, and therefore the matching efficiency is improved. In addition, aiming at the characteristics of map matching, a traditional shortest path analytical method is improved, and the matching speed is further improved by reducing a mark initialization process and a searching method from multiple points to a single point. Compared with other current methods, the map matching method of the floating car data is better in matching accuracy and matching performance, can achieve real-time map matching processing of low sample frequency floating car data in a city traffic network, and has business popularization and application prospects.

Description

technical field [0001] The invention relates to the technical field of traffic data processing, in particular to an efficient map matching method for large-scale low sampling frequency floating car data. Background technique [0002] With the development of mobile positioning technology and wireless communication technology, floating vehicle data has become the main data source for traffic monitoring due to its low cost and high spatial coverage. The floating car refers to the collection of traffic data such as the instantaneous speed, position, driving direction, and time stamp of the vehicle on the road through the vehicle-mounted GPS (Global Positioning System) equipment. Floating car data has the characteristics of real-time, short construction period, all-weather, low cost, wide road network coverage, and rich information, which makes up for the shortcomings of existing traffic data collection methods. The accuracy and real-time performance are superior to the traditio...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G01S19/39G08G1/01
Inventor 陈碧宇袁辉李清泉
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com