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

Enhanced hidden Markov model-based map matching method

A hidden Markov and map matching technology, applied in the field of map matching, can solve the problems of inability to guarantee the accuracy of matching results, reduce running time, etc., achieve the effect of reducing overall running time, improving matching accuracy, and realizing self-correction

Pending Publication Date: 2019-01-25
NANTONG UNIVERSITY
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention provides a map matching method based on an enhanced hidden Markov model to solve the technical problem that the existing map matching method cannot guarantee the accuracy of the matching result and effectively reduce the running time

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
  • Enhanced hidden Markov model-based map matching method
  • Enhanced hidden Markov model-based map matching method
  • Enhanced hidden Markov model-based map matching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The following description and drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely represent possible variations. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of embodiments of the present invention includes the full scope of the claims, and all available equivalents of the claims.

[0028] In some illustrative examples, such as figure 1 As shown, a map matching method based on an enhanced hidden Markov model is provided, including:

[0029] 101: track data preprocessing.

[0030] Specifically, the trajectory data is sorted in ascending order according to the order of collection time, the missing d...

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 an enhanced hidden Markov model-based map matching method. The invention aims to solve a technical problem that an existing map matching method fails to guarantee the accuracy of matching results and effectively reduce operation time. According to the enhanced hidden Markov model-based map matching method of the invention, traffic rules are introduced, so that the mismatch rate of the track points of a floating car on a retrograding road segment can be effectively reduced; the matching accuracy of the track points on a complex road segment can be improved; the matching time of the track points can be shortened; the overall operation time of a matching process can be effectively reduced; the self-correction of matching errors can be realized; and accurate track pointcorrection data can be provided for later-stage floating car data-based application.

Description

technical field [0001] The invention belongs to the technical field of map matching, and in particular relates to a map matching method based on an enhanced hidden Markov model. Background technique [0002] Vehicle location is a key geographic element in assisted driving, route navigation, vehicle monitoring and scheduling, and traffic management. In order to obtain location data and auxiliary information in real time, floating car technology is widely used, and the vehicle information collected based on floating car technology is called floating car data (FCD, Floating Car Data). According to the FCD, the vehicle position can be marked onto a digital map. However, FCD is a rough data, and the accuracy of FCD has great uncertainty due to measurement errors in satellite positioning and sampling errors in FCD. In addition, there are certain errors in the digital map itself. This makes the position of the floating car not accurately displayed on the corresponding road on th...

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 Applications(China)
IPC IPC(8): G01S19/42G01S19/03
CPCG01S19/03G01S19/42
Inventor 车明亮王晓文曹鑫亮
Owner NANTONG UNIVERSITY
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