Research on Map Matching Method Based on Road Geometric Features

<div class="section abstract"><div class="htmlview paragraph">For the mismatching defects of vertical projection method, this paper proposes an improved map matching algorithm based on road geometric features. For GNSS data, static repeated data is eliminated, dynamic high frequency data is compressed by light bar method. For network map data, extract motorized road segment, break road segment curve at the turning point, and establish network topology relationship. During map matching, determine the candidate road segment through the circular error area, and determine the matching path through the heading angle, connectivity and projection distance, and determine the projection points through the historical trajectory and driving speed. The effectiveness of the proposed algorithm is verified by case study.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-02-21
DOI
https://doi.org/10.4271/2025-01-7159
Primary Topic
Automated Road and Building Extraction
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Map Matching Method Based on Road Geometric Features

Xu Zhang, Hong‐Bin Zhang
SAE technical papers on CD-ROM/SAE technical paper series
Automated Road and Building Extraction
article

Research on Map Matching Method Based on Road Geometric Features

Xu Zhang, Hong‐Bin Zhang
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">For the mismatching defects of vertical projection method, this paper proposes an improved map matching algorithm based on road geometric features. For GNSS data, static repeated data is eliminated, dynamic high frequency data is compressed by light bar method. For network map data, extract motorized road segment, break road segment curve at the turning point, and establish network topology relationship. During map matching, determine the candidate road segment through the circular error area, and determine the matching path through the heading angle, connectivity and projection distance, and determine the projection points through the historical trajectory and driving speed. The effectiveness of the proposed algorithm is verified by case study.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
University College London (GB)
Openalex Percentile: Top 96%
Automated Road and Building Extraction
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