NDLI: Short-time OD matrix estimation for a complex junction using fuzzy-timed high-level petri nets

Content Provider	IEEE Xplore Digital Library
Author	Biletska, K. Masson, M.-H. Midenet, S. Denaeux, T.
Copyright Year	2009
Description	Author affiliation: Université Paris-Est, Institut National de Recherche sur les Transports et leur Sécurité (INRETS), Laboratoire GRETIA, 2 rue de la Butte Verte, 93166 Noisy le Grand cedex, France (Midenet, S.) \|\| Université de Technologie de Compiegne (Biletska, K.; Denaeux, T.) \|\| UMR CNRS 6599 Heudiasyc, BP 20529, 60205 Compiegne cedex, France (Masson, M.-H.)
Abstract	The OD matrix at a signalised junction estimated for traffic light cycle represents a crucial information for transportation systems. A new dynamic two-steps method is proposed to estimate such an OD matrix. First, a vehicle conservation law is build in a dynamical way for each traffic light cycle using Fuzzy-Timed High-Level Petri Nets (FTHN). It is represented by an under-determinate system of equations whose unknowns are the elements of the OD matrix. Second, a fuzzy linear programming approach is used to solve this system. Since the data used to estimate the matrix are imprecise, they are represented as fuzzy numbers. Experimental tests made with real data provided by video cameras installed on a junction show the benefits of using an FTHN tool for this problem.
Starting Page	1
Ending Page	6
File Size	1314309
Page Count	6
File Format	PDF
ISBN	9781424455195
DOI	10.1109/ITSC.2009.5309709
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Petri nets Vehicles Traffic control Pollution measurement Intelligent transportation systems Road transportation Equations Fuzzy systems Linear programming Testing signalised junction Fuzzy-Timed High-Level Petri Nets fuzzy sets origin-destination matrix estimation
Content Type	Text
Resource Type	Article

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