Categorizing bicycling environments using GPS-based public bicycle speed data
• A methodology for categorizing bicycling environments is proposed. • GPS based public bicycle speed data is used. • A support vector machine is adopted for the proposed categorization algorithm. • Technical feasibility of the proposed algorithm is demonstrated.
Gespeichert in:
| Autor*in: |
Joo, Shinhye [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Umfang: |
12 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Dithiocarbamate-calix[4]arene functionalized gold nanoparticles as a selective and sensitive colorimetric probe for assay of metsulfuron-methyl herbicide - Rohit, Jigneshkumar V. ELSEVIER, 2016, an international journal : a journal affiliated with IFAC, the International Federation of Automatic Control, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:56 ; year:2015 ; pages:239-250 ; extent:12 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.trc.2015.04.012 |
|---|
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ELV023839252 |
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| 520 | |a • A methodology for categorizing bicycling environments is proposed. • GPS based public bicycle speed data is used. • A support vector machine is adopted for the proposed categorization algorithm. • Technical feasibility of the proposed algorithm is demonstrated. | ||
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• A methodology for categorizing bicycling environments is proposed. • GPS based public bicycle speed data is used. • A support vector machine is adopted for the proposed categorization algorithm. • Technical feasibility of the proposed algorithm is demonstrated. |
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