Book Details

Extended Floating Car Data: A Hybrid Route level of Service for an Intelligent Transportation

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC).

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Abstract

A set of extensive experiments carried out under both daytime and nighttime real traffic conditions. The data were captured using an enhanced or extended Floating Car Data system that includes a stereo vision sensor for detecting the local traffic ahead. The collected information is then used to propose a novel approach to the level-of-service (LOS) calculation. This calculation uses information from both the xFCD and the magnetic loops deployed in the infrastructure to construct a speed/occupancy hybrid plane that characterizes the traffic state of a continuous route. In the xFCD system, the deduction component implies the use of previously developed monocular approaches in combination with new stereo vision algorithms that add robustness to the detection and increase the accuracy of the measurements corresponding to relative distance and speed. In addition to the stereo pair of cameras, the vehicle is equipped with a low-cost Global Positioning System (GPS) and an electronic device for controller-area-network bus interfacing. The xFCD system has been tested in a 190-min sequence recorded in real traffic scenarios under different weather and illumination conditions. The results are promising and demonstrate that the xFCD system is ready for being used as a source of traffic status information. As an indicative example of the developed xFCD system, we construct a novel route LOS calculation that combines hybrid information about speed and occupancy from both the xFCD system and the magnetic loops in the infrastructure.

References

[1] Eur. Comm., Office for official publications of the European Communities Doing more with less: Green Paper on energy efficiency, 2005.

[2] J. E. Naranjo, F. Jiménez, F. J. Serradilla, and J. G. Zato, ?Comparison between floating car data and infrastructure sensors for traffic speed estimation,? in Proc. IEEE Intell. Transp. Syst. Conf., Madeira, Portugal, 2010.

[3] C. Demir, B. S. Kerner, R. G. Herrtwich, S. L. Klenov, H. Rehborn, M. Aleksic, T. Reigber, M. Schwab, and A. Haug, ?FCD for urban areas: Method and analysis of practical realizations,? in Proc. 10th Intell. Transp. Syst. World Congr., Madrid, Spain, 2003.

[4] R. Bishop, Intelligent Vehicle Technologies and Trends. Boston, MA: Artech House, 2005.

[5] W. Huber, M. Lädke, and R. Ogger, ?Extended floating-car data for the acquisition of traffic information,? in Proc. 6th World Congr. Intell. Transp.Syst., 1999, pp. 1–9.

[6] A. Escher, ?Enhanced floating car data approaches enabled by GST,? in Proc. 12th World Congr. Intell. Transp. Syst., 2005, 16 p.

[7] S. Messelodi, C. M. Modena, M. Zanin, F. G. B. De Natale, F. Granelli, E. Betterle, and A. Guarise, ?Intelligent extended floating car data collection,? Expert Syst. Appl., vol. 36, pt. 1, no. 3, pp. 4213– 4227, Apr. 2009.

[8] Highway Capacity Manual 2000, Transp. Res. Board, Washington, DC, 2000.

[9] Forschungsgesellschaft für Strassen und Verkehrswesen, Handbuch für die Bemessung von Strassenverkehrsanlagen (German Highway Capacity Manual) (HBS 2001), 2002.

[10] S. Álvarez, M. A. Sotelo, M. Ocaña, D. F. Llorca, I. Parra, and L. M. Bergasa, ?Perception advances in outdoor vehicle detection for automatic cruise control,? Robotica, vol. 28, no. 5, pp. 765–779, Sep. 2010.

[11] M. A. Sotelo and J. Barriga, ?Blind spot detection using vision for automotive applications,? J. Zhejiang Univ. Sci. A, vol. 9, no. 10, pp. 1369– 1372, 2008.

[12] D. Balcones, D. F. Llorca, M. A. Sotelo, M. Gavilán, S. Álvarez, I. Parra, and M. Ocaña, ?Realtime vision-based vehicle detection for rearend collision mitigation systems,? in Proc. 12th Int. Conf. EUROCAST, vol. 5717, LNCS, 2009, pp. 320–325.

[13] D. F. Llorca, S. Sánchez, M. Ocaña, and M. A. Sotelo, ?Visionbased traffic data collection sensor for automotive applications,? Sensors, vol. 10, no. 1, pp. 860–875, Jan. 2010.

Keywords

Controller area network(CAN)bus,extended floating car data(FCD),Global Positioning System (GPS), level of service, stereo vision.

Image
  • Format Volume 2, Issue 1, No 3, 2014.
  • Copyright All Rights Reserved ©2014
  • Year of Publication 2014
  • Author G.SARANYA,
  • Reference IJCS-042
  • Page No 236-244

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