NDLI: Particle filter state estimator for large urban networks

Content Provider	IEEE Xplore Digital Library
Author	Marinica, N. Boel, R.
Copyright Year	2011
Description	Author affiliation: SYSTeMS Research Group, Faculty of Engineering, University of Ghent, B-9052 Zwijnaarde, Belgium (Marinica, N.; Boel, R.)
Abstract	This paper applies a particle filter (PF) state estimator to urban traffic networks. The traffic network consists of signalized intersections, the roads that link these intersections, and sensors that detect the passage time of vehicles. The traffic state X(t) specifies at each time time t the state of the traffic lights, the queue sizes at the intersections, and the location and size of all the platoons of vehicles inside the system. The basic entity of our model is a platoon of vehicles that travel close together at approximately the same speed. This leads to a discrete event simulation model that is much faster than microscopic models representing individual vehicles. Hence it is possible to execute many random simulation runs in parallel. A particle filter (PF) assigns weights to each of these simulation runs, according to how well they explain the observed sensor signals. The PF thus generates estimates at each time t of the location of the platoons, and more importantly the queue size at each intersection. These estimates can be used for controlling the optimal switching times of the traffic light.
Starting Page	374
Ending Page	380
File Size	254703
Page Count	7
File Format	PDF
ISBN	9781424492459
e-ISBN	9780858258846
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	ENGINEERS AUSTRALIA & AUSTRALIAN OPTICAL
Subject Keyword	Bayesian estimation Urban traffic Computational modeling Roads Bayesian methods Stochastic systems Switches Particle filtering Time measurement Platoon based model Sensors Vehicles
Content Type	Text
Resource Type	Article

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