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Research on Map Matching Method Based on Road Geometric Features Southeast University
- Format:
- Book
- Conference/Event
- Author/Creator:
- Zhang, Hongbin, author.
- Conference Name:
- 2024 International Conference on Smart Transportation Interdisciplinary Studies (2024-12-13 : Nanjing, China)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- 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
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-01-7159
- Access Restriction:
- Restricted for use by site license
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