Title: Self-speed and headway measurement in highway traffic from onboard video footage
Authors: Vergeest, Joris S. M.
Citation: WSCG '2012: Poster Papers Proceedings: The 20th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in cooperation with EUROGRAPHICS: Plzen, Czech Republic, June 26-28, 2012, p. 1-4.
Issue Date: 2012
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2012/!_2012-Posters-proceedings.pdf
ISBN: 978-80-86943-80-0
Keywords: dopravní statistiky;automatický sběr dat;detekce aut;měření rychlosti
Keywords in different language: transport statistics;automated data collecting;car detection;speed measurement
Abstract: We present a method to automatically collect data about distance and speed of vehicles ahead of a car participating in highway traffic. The method should support the registration of traffic in front of a driving car over long periods of time in order to be able to detect over-persistent congestion (OPC) situations. The method requires no specialized devices; it is based on a simple video stream from any (low-cost) camera mounted near the front window of a car. The data is used to fine-tune traffic flow models in order to determine the conditions for the emergence and the dissipation of traffic jams more accurately. The paper deals with the performance of the vehicle tracking method itself and presents a criterion for over-persistent traffic jams applied to the data. The outlook towards a driver’s advisory system to reduce traffic congestion (and thus time loss and environmental load) is discussed as well.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2012: Poster Paper Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/768

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