Summary
The airborne traffic monitoring system forms a novel technology of detecting vehicle motion. An optical digital camera located on an airborne platform produces a series of images which then are processed to recognized the fixed vehicles. In this way the video data are converted into the time sequence of frames containing the vehicle coordinates. In the present work a three-frame algorithm is developed to identify the succeeding vehicle positions. It is based on finding the neighboring points in the frame sequence characterized by minimal acceleration. To verify and optimize the developed algorithm a “Virtual Road” simulator was created. Finally available empirical data are analyzed using the created algorithm.
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References
I. Ernst, S. Sujew, K.-U. Thiessenhusen, M. Hetscher, S. Raßmann and M. Ruhé: LUMOS - Airborne Traffic Monitoring System. In: Proceedings of the IEEE 6th International Conference On Intelligent Transportation Systems; Shanghai (China), 2003 (CD-ROM).
H. Hetzheim, A. Börner: Vehicle detection from airborne images by separating of texture properties and their fusion. In: Image and Vision Computing, New Zealand, 2003, Proceedings pp. 48–53 (Palmerston North, 2003).
Martin Ruhé, Reinhart Kühne, Ines Ernst, Sergey Zuev, and Eileen Hipp: Air borne systems and datafusion for traffic surveillance and forecast for the soccer world cup. In: Proceedings of 86-th Annual Meeting Transportation Research Board, January, 2007, Washington, D.C.
Next Generation Simulation Community, http://ngsim.camsys.com.
I. Lubashevsky, R. Mahnke, P. Wagner, and S. Kalenkov: Phys. Rev. E 66, 016117 (2002).
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Lubashevsky, I., Gusein-zade, N., Klochkov, D., Zuev, S. (2009). Three-Frame Algorithm of Car Path Reconstruction from Airborne Traffic Data. In: Appert-Rolland, C., Chevoir, F., Gondret, P., Lassarre, S., Lebacque, JP., Schreckenberg, M. (eds) Traffic and Granular Flow ’07. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77074-9_39
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DOI: https://doi.org/10.1007/978-3-540-77074-9_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77073-2
Online ISBN: 978-3-540-77074-9
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