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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.11866 |
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| _version_ | 1866914684971515904 |
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| author | Lin, Jeremy J. Mochida, Tomoro O'Neill, Riley C. W. Yoshida, Atsuro Yamazaki, Masashi Sasada, Akinobu |
| author_facet | Lin, Jeremy J. Mochida, Tomoro O'Neill, Riley C. W. Yoshida, Atsuro Yamazaki, Masashi Sasada, Akinobu |
| contents | Our aim of this paper is to develop new map matching algorithms and to improve upon previous work. We address two key approaches: Analytic Hierarchy Process (AHP) map matching and fuzzy logic map matching. AHP is a decision-making method that combines mathematical analysis with human judgment, and fuzzy logic is an approach to computing based on the degree of truth and aims at modeling the imprecise modes of reasoning from 0 to 1 rather than the usual boolean logic. Of these algorithms, the way of our applying AHP to map matching is newly developed in this paper, meanwhile, our application of fuzzy logic to map matching is mostly the same as existing research except for some small changes. Because of the common characteristic that both methods are designed to handle imprecise information and simplicity for implementation, we decided to use these methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_11866 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Two Online Map Matching Algorithms Based on Analytic Hierarchy Process and Fuzzy Logic Lin, Jeremy J. Mochida, Tomoro O'Neill, Riley C. W. Yoshida, Atsuro Yamazaki, Masashi Sasada, Akinobu Computational Geometry Artificial Intelligence Computer Vision and Pattern Recognition Our aim of this paper is to develop new map matching algorithms and to improve upon previous work. We address two key approaches: Analytic Hierarchy Process (AHP) map matching and fuzzy logic map matching. AHP is a decision-making method that combines mathematical analysis with human judgment, and fuzzy logic is an approach to computing based on the degree of truth and aims at modeling the imprecise modes of reasoning from 0 to 1 rather than the usual boolean logic. Of these algorithms, the way of our applying AHP to map matching is newly developed in this paper, meanwhile, our application of fuzzy logic to map matching is mostly the same as existing research except for some small changes. Because of the common characteristic that both methods are designed to handle imprecise information and simplicity for implementation, we decided to use these methods. |
| title | Two Online Map Matching Algorithms Based on Analytic Hierarchy Process and Fuzzy Logic |
| topic | Computational Geometry Artificial Intelligence Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2402.11866 |