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>
Authors
- Xu Zhang (ORCID: https://orcid.org/0000-0003-0739-392X)
- Hong‐Bin Zhang (ORCID: https://orcid.org/0000-0002-9953-391X)
Institutions
- University College London (GB)
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