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Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control

Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
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ISPRS Int. J. Geo-Inf. 2020, 9(1), 55; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9010055
Received: 11 December 2019 / Revised: 9 January 2020 / Accepted: 13 January 2020 / Published: 17 January 2020
(This article belongs to the Special Issue Enhanced Modeling and Surveying Tools for Smart Cities)
Average speed is crucial for calculating link travel time to find the fastest path in a road network. However, readily available data sources like OpenStreetMap (OSM) often lack information about the average speed of a road. However, OSM contains other road information which enables an estimation of average speed in rural regions. In this paper, we develop a Fuzzy Framework for Speed Estimation (Fuzzy-FSE) that employs fuzzy control to estimate average speed based on the parameters road class, road slope, road surface and link length. The OSM road network and, optionally, a digital elevation model (DEM) serve as free-to-use and worldwide available input data. The Fuzzy-FSE consists of two parts: (a) a rule and knowledge base which decides on the output membership functions and (b) multiple Fuzzy Control Systems which calculate the output average speeds. The Fuzzy-FSE is applied exemplary and evaluated for the BioBío and Maule region in central Chile and for the north of New South Wales in Australia. Results demonstrate that, even using only OSM data, the Fuzzy-FSE performs better than existing methods such as fixed speed profiles. Compared to these methods, the Fuzzy-FSE improves the speed estimation between 2% to 12%. In future work, we will investigate the potential of data-driven machine learning methods to estimate average speed. The applied datasets and the source code of the Fuzzy-FSE are available via GitHub. View Full-Text
Keywords: OpenStreetMap; digital elevation model; fuzzy control system; routing; link travel time OpenStreetMap; digital elevation model; fuzzy control system; routing; link travel time
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MDPI and ACS Style

Guth, J.; Wursthorn, S.; Keller, S. Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control. ISPRS Int. J. Geo-Inf. 2020, 9, 55. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9010055

AMA Style

Guth J, Wursthorn S, Keller S. Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control. ISPRS International Journal of Geo-Information. 2020; 9(1):55. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9010055

Chicago/Turabian Style

Guth, Johanna, Sven Wursthorn, and Sina Keller. 2020. "Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control" ISPRS International Journal of Geo-Information 9, no. 1: 55. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9010055

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