NDLI: A model of speed profiles for urban road networks using G-means clustering

Content Provider	IEEE Xplore Digital Library
Author	Erdelic, T. Vrbancic, S. Rozic, L.
Copyright Year	2015
Description	Author affiliation: Fac. of Transp. & Traffic Sci., Univ. of Zagreb, Zagreb, Croatia (Erdelic, T.; Vrbancic, S.; Rozic, L.)
Abstract	In this paper, we present a method for computing speed profiles by processing GPS data collected by vehicles in an urban area. The vehicles were tracked during a five year period on the road network of the capital city of Croatia (Zagreb). Traffic congestions in Croatia appear almost exclusively in urban areas, therefore Zagreb was chosen for this study as it is by far the largest city. The profiles for the roads were computed for each day of the week, where each day was segmented into five minute intervals. As there are no congestions during the night, the free flow speed for the roads was determined by averaging vehicle speeds which were recorded during that time. The speed profiles were clustered using G-means, a variant of the k-means clustering algorithm, to reduce storage space and to categorize roads observed in future research based on their profile. By applying this algorithm we reduced the number of total speed profiles by more than 90%. The profiles were developed as part of the SORDITO project, with the goal of developing algorithms for vehicle route optimizations.
Starting Page	1081
Ending Page	1086
File Size	481511
Page Count	6
File Format	PDF
e-ISBN	9789532330823
DOI	10.1109/MIPRO.2015.7160436
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-25
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	MIPRO
Subject Keyword	Smoothing methods Roads Clustering algorithms Cities and towns Splines (mathematics) Vehicles Global Positioning System
Content Type	Text
Resource Type	Article

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