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Application of OPC UA Protocol for the Internet of Vehicles

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10449))

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Abstract

Nowadays, Advanced Driver Assistance Systems (ADAS) support drivers of vehicles in emergency situations that are connected with vehicular traffic. They help to save people’s lives and minimise the losses in accidents. ADAS use information that is supported by a variety of sensors, which are responsible for tracking the vehicle’s surroundings. Unfortunately, the range of the sensors is limited to several dozen metres and even less in the case of obstacles. This shortens the time for a reaction and, therefore, there may not be enough time to avoid an accident. In order to overcome this drawback, vehicles have to share the information that is available in ADAS. The authors investigated different vehicle-to-vehicle communication possibilities. Based on an analysis of the state of the art, the authors present an original concept that is focused on applying the OPC UA (IEC 62541) communication protocol for services that correspond to the Internet of Vehicles concept.

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References

  1. Ziebinski, A., Cupek, R., Grzechca, D., Chruszczyk, L.: Review of advanced driver assistance systems (ADAS). In: 18th IEEE International Conference on Industrial Technology (2017)

    Google Scholar 

  2. Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., Winner, H.: Three decades of driver assistance systems: review and future perspectives. IEEE Intell. Transp. Syst. Mag. 6, 6–22 (2014)

    Article  Google Scholar 

  3. Ziebinski, A., Swierc, S.: Soft core processor generated based on the machine code of the application. J. Circ. Syst. Comput. 25, 1650029 (2016)

    Article  Google Scholar 

  4. Faezipour, M., Nourani, M., Saeed, A., Addepalli, S.: Progress and challenges in intelligent vehicle area networks. Commun. ACM 55, 90 (2012)

    Article  Google Scholar 

  5. Yang, Q., Lim, A., Li, S., Fang, J., Agrawal, P.: ACAR: adaptive connectivity aware routing for vehicular ad hoc networks in city scenarios. Mobile Netw. Appl. 15, 36–60 (2010)

    Article  Google Scholar 

  6. Al-Sultan, S., Al-Doori, M.M., Al-Bayatti, A.H., Zedan, H.: A comprehensive survey on vehicular Ad Hoc network. J. Netw. Comput. Appl. 37, 380–392 (2014)

    Article  Google Scholar 

  7. Andrzejewski, G., Zając, W., Kołopieńczyk, M.: Time dependencies modelling in traffic control algorithms. Presented at the International Conference on Transport Systems Telematics (2013)

    Google Scholar 

  8. Sharef, B.T., Alsaqour, R.A., Ismail, M.: Vehicular communication ad hoc routing protocols: a survey. J. Netw. Comput. Appl. 40, 363–396 (2014)

    Article  Google Scholar 

  9. Kasprowski, P., Harezlak, K., Niezabitowski, M.: Eye movement tracking as a new promising modality for human computer interaction, May 2016

    Google Scholar 

  10. Tung, L.-C., Mena, J., Gerla, M., Sommer, C.: A cluster based architecture for intersection collision avoidance using heterogeneous networks, June 2013

    Google Scholar 

  11. Maslekar, N., Mouzna, J., Boussedjra, M., Labiod, H.: CATS: an adaptive traffic signal system based on car-to-car communication. J. Netw. Comput. Appl. 36, 1308–1315 (2013)

    Article  Google Scholar 

  12. Dang, R., Ding, J., Su, B., Yao, Q., Tian, Y., Li, K.: A lane change warning system based on V2V communication, October 2014

    Google Scholar 

  13. Gradinescu, V., Gorgorin, C., Diaconescu, R., Cristea, V., Iftode, L.: Adaptive traffic lights using car-to-car communication, April 2007

    Google Scholar 

  14. Obst, M., Mattern, N., Schubert, R., Wanielik, G.: Car-to-Car communication for accurate vehicle localization: the CoVeL approach, March 2012

    Google Scholar 

  15. Olariu, S., Weigle, M.C.: Vehicular Networks: From Theory to Practice. CRC Press, Boca Raton (2009)

    Book  Google Scholar 

  16. Koscher, K., Czeskis, A., Roesner, F., Patel, S., Kohno, T., Checkoway, S., McCoy, D., Kantor, B., Anderson, D., Shacham, H., Savage, S.: Experimental security analysis of a modern automobile (2010)

    Google Scholar 

  17. Koushanfar, F., Sadeghi, A.-R., Seudie, H.: EDA for secure and dependable cybercars: challenges and opportunities (2012)

    Google Scholar 

  18. Pamuła, D., Ziębiński, A.: Securing video stream captured in real time. Przegląd Elektrotechniczny. R. 86(9), 167–169 (2010)

    Google Scholar 

  19. Buk, B., Mrozek, D., Małysiak-Mrozek, B.: Remote video verification and video surveillance on android-based mobile devices. In: Gruca, D.A., Czachórski, T., Kozielski, S. (eds.) Man-Machine Interactions 3. AISC, vol. 242, pp. 547–557. Springer, Cham (2014). doi:10.1007/978-3-319-02309-0_60

    Chapter  Google Scholar 

  20. Bißmeyer, N., Stübing, H., Schoch, E., Götz, S., Stotz, J.P., Lonc, B.: A generic public key infrastructure for securing car-to-x communication. Presented at the 18th ITS World Congress, Orlando, USA (2011)

    Google Scholar 

  21. Cupek, R., Huczala, L.: Passive PROFIET I/O OPC DA Server. Presented at the IEEE Conference on Emerging Technologies & Factory Automation, 2009. ETFA 2009 (2009)

    Google Scholar 

  22. Mrozek, D., Malysiak-Mrozek, B., Siaznik, A.: search GenBank: interactive orchestration and ad-hoc choreography of Web services in the exploration of the biomedical resources of the National Center For Biotechnology Information. BMC Bioinform. 14, 73 (2013)

    Article  Google Scholar 

  23. Maka, A., Cupek, R., Rosner, J.: OPC UA object oriented model for public transportation system. Presented at the 2011 Fifth UKSim European Symposium on Computer Modeling and Simulation (EMS) (2011)

    Google Scholar 

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Acknowledgements

This work was supported by the European Union from the FP7-PEOPLE-2013-IAPP AutoUniMo project “Automotive Production Engineering Unified Perspective based on Data Mining Methods and Virtual Factory Model” (grant agreement no: 612207) and research work financed from funds for science in years 2016–2017 allocated to an international co-financed project (grant agreement no: 3491/7.PR/15/2016/2).

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Correspondence to Marcin Fojcik .

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Cupek, R., Ziębiński, A., Drewniak, M., Fojcik, M. (2017). Application of OPC UA Protocol for the Internet of Vehicles. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10449. Springer, Cham. https://doi.org/10.1007/978-3-319-67077-5_26

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  • DOI: https://doi.org/10.1007/978-3-319-67077-5_26

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-67077-5

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