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Document type:
Konferenzbeitrag 
Author(s):
Pflügler, Christoph; Köhn, Thomas; Schreieck, Maximilian; Wiesche, Manuel; Krcmar, Helmut 
Title:
Predicting the Availability of Parking Spaces with Publicly Available Data 
Pages contribution:
361-373 
Abstract:
Searching for parking spaces on the street causes a significant part of the urban traffic and results in extra costs for the drivers in terms of time and fuel consumption. Existing approaches to predict the availability of parking spaces have significant drawbacks as they are either expensive or rely on the users´ information. This article deals with the prediction of the parking situation based on publicly available data that can be accessed cost-efficiently. Suitable categories of data are ide...    »
 
Keywords:
Smart Parking, Public Data, Smart City, Parking Prediction, Parking, Neuronal Network 
Book / Congress title:
Lecture Notes in Informatics (LNI) 
Congress (additional information):
INFORMATIK 2016 
Year:
2016