Reporting Road Problems in Smart Cities Using OpenIoT Framework

  • Alexey Medvedev
  • Arkady Zaslavsky
  • Sergey Khoruzhnikov
  • Vladimir Grudinin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9001)

Abstract

Video streaming from cameras, closed-circuit television (CCTV), smartphones and Internet-connected objects (ICO) largely contributes to big data traffic on the Internet. Video streaming provides enormous amount of useful information for delivery of efficient and effective services in smart cities. Modern cities have large networks of surveillance cameras including CCTV, street crossings and the like. In this paper we discuss the challenges of annotating and retrieving video data streams from vehicle-mounted surveillance cameras. We also propose and evaluate the CityWatcher application – an Android application for recording video streams, annotating them with location, timestamp and additional context in order to make them discoverable and available to authorized Internet of Things applications. One of such applications is based on crowdsourced alerts to city authorities about road problems, like potholes, cracks, traffic accidents. These alerts are driver-initiated and are rewarded through an incentive mechanism. OpenIoT platform is used for infrastructure and development support.

Keywords

Smart city Video streaming Internet of Things (IoT) Crowdsensing Intelligent Transportation Systems Vehicle-mounted surveillance camera (VMSC) 

Notes

Acknowledgement

The research has been carried out with the financial support of the Ministry of Education and Science of the Russian Federation under grant agreement #14.575.21.0058.

Part of this work has been carried out in the scope of the ICT OpenIoT Project which is co-funded by the European Commission under seventh framework program, contract number FP7-ICT-2011-7-287305-OpenIoT.

References

  1. 1.
    Caragliu, A., Del Bo, C., Nijkamp, P.: Smart cities in Europe. In: Proceedings of the 3rd Central European Conference on Regional Science, Košice (2009)Google Scholar
  2. 2.
    Hu, M., Li, C.: Design smart city based on 3S, internet of things, grid computing and cloud computing technology. In: Wang, Y., Zhang, X. (eds.) IOT 2012. CCIS, vol. 312, pp. 466–472. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  3. 3.
    Smart city. http://en.wikipedia.org/wiki/Smart_city. Accessed 18 April 2014
  4. 4.
    Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., Meijers, E.: Smart cities – Ranking of European medium-sized cities. Smart Cities. Centre of Regional Science, Vienna (2007)Google Scholar
  5. 5.
    Intelligent transportation system. http://en.wikipedia.org/wiki/Intelligent_transportation_system. Accessed 24 April 2014
  6. 6.
    Ki, Y.-K., Lee, D.-Y.: A traffic accident recording and reporting model at intersections. IEEE Trans. Intell. Transp. Syt. 8(2), 188–194 (2007)CrossRefGoogle Scholar
  7. 7.
    Chae, K., Kim, D., Jung, S., Choi, J., Jung, S.: Evidence Collecting System from Car Black Boxes. School of Electronic Engineering, Soongsil University Seoul, KoreaGoogle Scholar
  8. 8.
    Huang, T.: Surveillance video: the biggest big data. Comput. Now 7(2) (2014). http://www.computer.org/portal/web/computingnow/archive/february2014?lf1=929719755f161316415589b16868896
  9. 9.
    Schuurman, D., Baccarne, B., De Marez, L., Mechant, P.: Smart ideas for smart cities: investigating crowdsourcing for generating and selecting ideas for ICT innovation in a city context. J. Theor. Appl. Electron. Commer. Res. 7(3), 49–62 (2012)CrossRefGoogle Scholar
  10. 10.
    Georgakopoulos, D., Baker, M., Nodine, A.: Event-driven video aware-ness providing physical security. World Wide Web J. (WWWJ) 10(1), 85–109 (2007)CrossRefGoogle Scholar
  11. 11.
    Chatzimilioudis, G., Konstantinidis, A., Laoudias, C., Zeinalipour-Yazti, D.: Crowdsourcing with Smartphones. IEEE Internet Computing 16(5), 36–44 (2012)CrossRefGoogle Scholar
  12. 12.
    Vondrick, C., Patterson, D., Ramanan, D.: Efficiently scaling up crowd-sourced video annotation: a set of best practices for high quality, economical video labeling. Int. J. Comput. Vis. 101, 184–204 (2013). Springer Science+Business Media LLCCrossRefGoogle Scholar
  13. 13.
    Improve My City Webpage. http://smartcityapps.urenio.org/improve-my-city_en.html. Accessed 17 June 2014
  14. 14.
    Tsampoulatidis, I., Ververidis, D., Tsarchopoulos, P.,Nikolopoulos S., Kompatsiaris I., Komninos, N.: ImproveMyCity: an open source platform for direct citizen-government communication. In: Proceedings of the 21st ACM International Conference on Multimedia, pp. 839–842. ACM, New York (2013)Google Scholar
  15. 15.
    Buiten Better Webpage. http://www.buitenbeter.nl/English. Accessed 17 June 2014
  16. 16.
    FixMySreet Webpage. http://www.fixmystreet.com. Accessed 17 June 2014
  17. 17.
    King, S., Brown, P.: Fix my street or else: using the internet to voice local public service concerns. In: Proceedings of the 1st International Conference on Theory and Practice of Electronic Governance, pp. 72–80. ACM, New York (2007)Google Scholar
  18. 18.
    RosYama Webpage. http://rosyama.ru. Accessed 17 June 2014
  19. 19.
    RosZKH Webpage. http://roszkh.ru. Accessed 17 June 2014
  20. 20.
    Medvedev, A., Zaslavsky, A., Grudinin, V., Khoruzhnikov, S.: Citywatcher: annotating and searching video data streams for smart cities applications. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2014. LNCS, vol. 8638, pp. 144–155. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  21. 21.
    Amazon EC2 Webpage. http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html. Accessed 17 June 2014
  22. 22.
    Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Context aware computing for internet of things: a survey. IEEE Commun. Surv. Tutorials 16(1), 414–454 (2014)CrossRefGoogle Scholar
  23. 23.
    Yandex Speech Kit Webpage. http://api.yandex.ru/speechkit/. Accessed 17 June 2014
  24. 24.
    OpenIoT Architecture Webpage. https://github.com/OpenIotOrg/openiot/wiki/OpenIoT-Architecture. Accessed 12 April 2014
  25. 25.
    OpenIoT Webpage. http://www.openiot.eu. Accessed 12 March 2014
  26. 26.
    What is OpenIoT and what does it can do for you? http://academics.openiot.eu/. Accessed 24 April 2014
  27. 27.
    X-GSN Webpage. https://github.com/OpenIotOrg/openiot/wiki/X-GSN-Use. Accessed 17 June 2014
  28. 28.
  29. 29.
    Global Scheduler Webpage. https://github.com/OpenIotOrg/openiot/wiki/Global-Scheduler. Accessed 17 June 2014
  30. 30.
    Buch, N., Kristl, V.S.A., Orwell, J.: A review of computer vision techniques for the analysis of urban traffic. IEEE Trans. Intell. Transp. Syst. 12(3), 920–939 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Alexey Medvedev
    • 1
  • Arkady Zaslavsky
    • 2
  • Sergey Khoruzhnikov
    • 1
  • Vladimir Grudinin
    • 1
  1. 1.ITMO UniversitySt. PetersburgRussia
  2. 2.CSIROMelbourneAustralia

Personalised recommendations