NDLI: Estimation of missing values in traffic density maps

Content Provider	IEEE Xplore Digital Library
Author	Petrlik, J. Korcek, P. Fucik, O. Beszedes, M. Sekanina, L.
Copyright Year	2012
Description	Author affiliation: Brno University of Technology, Faculty of Information Technology, IT4Innovations Centre of Excellence, 612 66, Czech Republic (Petrlik, J.; Korcek, P.; Sekanina, L.) \|\| Camea spol. s r.o., Korenskeho 25, 621 00, Brno, Czech Republic (Fucik, O.; Beszedes, M.)
Abstract	The traffic density map (TDM) represents the density of road network traffic as the number of vehicles per a specific time interval. TDMs are used by traffic experts as a base documentation for planning a new infrastructure (long-term) or by drivers for showing a current traffic status (short-term). We propose two methods for estimation of missing density values in TDMs. In the first method, the problem is formulated relatively strictly in terms of quadratic programming (QP) and a QP solver is utilized to find a solution. The second, more general method is based on a multiobjective genetic algorithm which allows us to find a reasonable compromise among several objectives that a traffic expert may formulate. These two methods can work automatically or they can be used by a traffic expert for an iterative density estimation. Results of experimental evaluation based on real and randomly generated data are presented.
Starting Page	632
Ending Page	637
File Size	536635
Page Count	6
File Format	PDF
ISBN	9781467330640
ISSN	21530009
e-ISBN	9781467330633
e-ISBN	9781467330626
DOI	10.1109/ITSC.2012.6338757
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Linear programming Quadratic programming Estimation Time division multiplexing Sociology
Content Type	Text
Resource Type	Article

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