Evaluation of a Transport Mode Detection Using Fuzzy Rules
Global positioning System (GPS) and other sensor data available from smartphones are more and more used to derive the mobility behavior of their users. This contribution evaluates an own developed three step algorithm to derive transportation modes from such data by taking the trajectory data of some dozen trips of users with a focus on obtaining road traffic information. The algorithm itself consists of first a segmentation phase, second fuzzy rule transport mode detection and third consistency corrections. Results obtained so far are promising with correct detections of about 75 %, but further analysis will be needed to substantially enhance the algorithm.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2017 Anke Sauerländer-Biebl et al. Published by Elsevier B.V.
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Authors:
- Sauerländer-Biebl, Anke
- Brockfeld, Elmar
- Suske, David
- Melde, Eric
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Conference:
- World Conference on Transport Research - WCTR 2016
- Location: Shanghai , China
- Date: 2016-7-10 to 2016-7-15
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; Photos; References; Tables;
- Pagination: pp 591-602
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Serial:
- Transportation Research Procedia
- Volume: 25
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Algorithms; Fuzzy systems; Global Positioning System; Mobility; Real time information; Smartphones; Traffic congestion; Transportation modes
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01642133
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 27 2017 10:05AM