Skip to main content

Survey of Unmanned Aerial Vehicles (UAVs) for Traffic Monitoring

  • Reference work entry
  • First Online:
Book cover Handbook of Unmanned Aerial Vehicles

Abstract

The focus of this chapter is on surveying UAV-based systems for traffic monitoring and management. Although there has been voluminous research on the subject, unmanned aerial vehicles (UAVs) are proven to be a viable and less timeconsuming alternative to real-time traffic monitoring and management, providing the solution to the problem.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 1,399.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 1,999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • K.-H. Bethke, S. Baumgartner, M. Gabele, D. Hounaman, E. Kemptner, D. Klement, G. Krieger, R. Erxleben, Air- and spaceborne monitoring of road traffic using SAR moving target indicationproject TRAMRAD. ISPRS J. Photogramm. Remote Sens. 61, 243–259 (2006). Published by Elsevier B.V.

    Article  Google Scholar 

  • K.-H. Bethke, S. Baumgartner, M. Gabele, Airborne road traffic monitoring with radar, in Proceedings of the World Congress on Intelligent Transport Systems (ITS), Neijing, 2007, p. 16

    Google Scholar 

  • L. Breiman, Random forests. Mach. Learn. 45, 57–32 (2001)

    Google Scholar 

  • Y.M. Chen, L. Dong, J.-S. Oh, Real-time video relay for UAV traffic surveillance systems through available communication networks, in IEEE Wireless Communications and Networking Conference, WCNC, Hong Kong, 2007, pp. 2608–2612

    Google Scholar 

  • P. Cheng, G. Zhou, Z. Zheng, Detecting and counting vehicles from small low-cost UAV images, in ASPRS 2009 Annual Conference, Baltimore, 2009

    Google Scholar 

  • B. Coifman, M. McCord, R. Mishalani, M. Iswalt, Y. Ji, Roadway traffic monitoring from an unmanned aerial vehicle, in IEEE Proceedings of Intelligent Transportation System, Toronto, vol. 153, No. 1, Mar 2006

    Google Scholar 

  • T. Cover, P. Hart, Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13(1), 21–27 (1967)

    Article  MATH  Google Scholar 

  • R.J. Evans, E. Turkbeyler, Visual MTI for UAV systems, in Proceedings of the 4th EMRS DTC Conference, Edinburgh, July 2007

    Google Scholar 

  • P. Fang, J. Lu, Y. Tian, Z. Miao, An improved object tracking method in UAV videos. Procedia Eng. 15(0), 634–638 (2011)

    Article  Google Scholar 

  • M.A. Fischler, R.C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24, 381–395 (1981)

    Article  MathSciNet  Google Scholar 

  • J. Gleason, A.V. Nefian, X. Bouyssounousse, T. Fong, G. Bebis, Vehicle detection from aerial imagery, in IEEE Intelligent Conference on Robotics and Automation, Shanghai, 2011

    Google Scholar 

  • M. Hearst, S. Dumais, E. Osman, J. Platt, B. Shalkopf, Support vector machines. IEEE Intell. Syst. Appl. 13(4), 28 (1998)

    Article  Google Scholar 

  • F. Heintz, P. Rudol, P. Doherty, From images to traffic behavior – a UAV tracking and monitoring application, in Proceedings of the 10th IEEE International Conference on Information Fusion, Quebec, 2007

    Google Scholar 

  • S. Jwa, Z. Tang, U. Ozguner, Robust data alignment based on information theory and its application in road following situation, in IEEE Intelligent Transportation Systems Conference, Toronto, 2006

    Google Scholar 

  • K. Kaaniche, B. Champion, C. Pegard, P. Vasseur, A vision algorithm for dynamic detection of moving vehicles with a UAV, in International Conference on Robotics and Automation, Barcelona, 2005

    Google Scholar 

  • Z.W. Kim, Real-time road detection by learning from one example, in Proceedings of the 7th IEEE Workshops on Application of Computer Vision, WACV/MOTIONS, Breckenridge, vol. 1, 2005, pp. 455–460

    Google Scholar 

  • E.D. McCormack, The use of small unmanned aircraft by the Washington state department of transportation, Research Report Agreement T4118, Task 04, Unmanned Aerial Vehicles, Seattle, 2008

    Google Scholar 

  • A. Puri, A survey of unmanned aerial vehicles (UAV) for traffic surveillance, Department of Computer Science and Engineering, University of South Florida, 2005

    Google Scholar 

  • A. Puri, Statistical profile generation of real-time UAV based traffic data.Ph.D. thesis, University of South Florida, 2008

    Google Scholar 

  • A. Puri, K.P. Valavanis, M. Kontitsis, Statistical profile generation for traffic monitoring using real-time UAV based video data, in Proceedings of the IEEE Mediterranean Conference on Control and Automation, Athens, 2007

    Google Scholar 

  • K. Ro, J.-S. Oh, L. Dong, Lessons learned: application of small UAV for urban highway traffic monitoring, in Proceedings of the 45th AIAA Aerospace Sciences Meeting and Exhibit, Reno, 2007

    Google Scholar 

  • D. Rosenbaum, F. Kurz, U. Thomas, S. Surir, P. Reinartz, Towards automatic near real-time traffic monitoring with an airborne wide angle camera system, in European Conference of Transport Research Institutes (ECTRI), 2008

    Google Scholar 

  • G. Shafer, A Mathematical Theory of Evidence (Princeton University Press, Princeton, 1976)

    MATH  Google Scholar 

  • C. Toth, D.A. Grejner-Brzezinska, C. Merry, Supporting traffic flow management with high-definition imagery, in Proceedings of Joint ISPRS Workshop on High Resolution Mapping from Space, Hannover, 2003

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Goncalo Martins .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media Dordrecht

About this entry

Cite this entry

Kanistras, K., Martins, G., Rutherford, M.J., Valavanis, K.P. (2015). Survey of Unmanned Aerial Vehicles (UAVs) for Traffic Monitoring. In: Valavanis, K., Vachtsevanos, G. (eds) Handbook of Unmanned Aerial Vehicles. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9707-1_122

Download citation

Publish with us

Policies and ethics