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

Guth, Johanna; Wursthorn, Sven; Keller, Sina

Abstract (englisch):
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%. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000105413
Veröffentlicht am 28.01.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 2220-9964
KITopen-ID: 1000105413
Erschienen in ISPRS International Journal of Geo-Information
Band 9
Heft 1
Seiten Article No.55
Vorab online veröffentlicht am 17.01.2020
Schlagwörter OpenStreetMap; digital elevation model; fuzzy control system; routing; link travel time
Nachgewiesen in Web of Science
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