On Map-Matching Vehicle Tracking Data
Summary: Three trajectory-aware map-matching algorithms map vehicle trajectories to road networks, addressing GPS sampling noise beyond single positions. An incremental method trades accuracy for speed; two global methods compare full trajectories using Frechet-distance metrics. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Sotiris Brakatsoulas (Computer Technology Institute)
- 2. Dieter Pfoser (Computer Technology Institute)
- 3. Randall Salas (University of Texas at San Antonio)
- 4. Carola Wenk (University of Texas at San Antonio)
BibTeX Citation
@article{brakatsoulas_vldb05,
title = {{On Map-Matching Vehicle Tracking Data}},
author = {Brakatsoulas, Sotiris and Pfoser, Dieter and Salas, Randall and Wenk, Carola},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {853--864},
year = {2005}
}
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