An Overview of Vehicular Networking and Cyber-Physical Systems

  • Danda B. RawatEmail author
  • Chandra Bajracharya


Vehicular networking for intelligent transportation cyber-physical system is an emerging technology that has attracted attention of government, industry, and academia notably in USA, Japan, and Europe. The main idea behind vehicular networking and communication is not new, since JSK (Association of Electronic Technology for Automobile Traffic and Driving of Japan) initiated it in the early 1980s.


Vehicular Network Vehicle Density Roadside Unit Vehicular Communication Roadside Infrastructure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    D. B. Rawat, J. J. Rodrigues, and I. Stojmenovic, Cyber-Physical Systems: From Theory to Practice. CRC Press, 2015.Google Scholar
  2. 2.
    L. Alvarez and R. Horowitz, “Safe platooning in automated highway systems,” California Partners for Advanced Transit and Highways (PATH), 1997.Google Scholar
  3. 3.
    M. Schulze, “CHAUFFEUR-The European Way towards an Automated Highway System,” in Mobility for Everyone. 4th World Congress on Intelligent Transport Systems, 21–24 October 1997, Berlin. (Paper No. 2311), 1997.Google Scholar
  4. 4.
  5. 5.
    “Traffic Safety Facts,”, accessed: 2010-09-30.
  6. 6.
    C. D. Wang and J. P. Thompson, “Apparatus and method for motion detection and tracking of objects in a region for collision avoidance utilizing a real-time adaptive probabilistic neural network,” Mar. 18 1997, uS Patent 5,613,039.Google Scholar
  7. 7.
    D. S. Breed, W. E. Duvall, and W. C. Johnson, “Accident avoidance system,” Apr. 9 2002, uS Patent 6,370,475.Google Scholar
  8. 8.
    “Introduction to vehicular networks,”, accessed: 2010-09-30.
  9. 9.
    H. Moustafa, S. M. Senouci, and M. Jerbi, “Introduction to vehicular networks,” Vehicular Networks, p. 1, 2009.Google Scholar
  10. 10.
    D. Rawat, D. Popescu, G. Yan, and S. Olariu, “Enhancing VANET Performance by Joint Adaptation of Transmission Power and Contention Window Size,” IEEE Transactions on Parallel and Distributed Systems, vol. 22, no. 9, pp. 1528–1535, Sept 2011.Google Scholar
  11. 11.
    D. B. Rawat, G. Yan, D. C. Popescu, M. C. Weigle, and S. Olariu, “Dynamic adaptation of joint transmission power and contention window in VANET,” in 2009 IEEE 70th Vehicular Technology Conference Fall (VTC 2009-Fall), 2009, pp. 1–5.Google Scholar
  12. 12.
    D. B. Rawat and S. Shetty, “Enhancing connectivity for spectrum-agile vehicular ad hoc networks in fading channels,” in Intelligent Vehicles Symposium Proceedings, 2014 IEEE, 2014, pp. 957–962.Google Scholar
  13. 13.
    D. B. Rawat, G. Yan, B. B. Bista, and M. C. Weigle, “Trust on the security of wireless vehicular ad-hoc networking.” Ad Hoc & Sensor Wireless Networks, vol. 24, no. 3–4, pp. 283–305, 2015.Google Scholar
  14. 14.
    D. B. Rawat, B. B. Bista, G. Yan, and M. C. Weigle, “Securing Vehicular Ad-Hoc Networks Against Malicious Drivers: A Probabilistic Approach,” in Proceedings of the 5th International Conference on Complex, Intelligent, and Software Intensive Systems, June 2011.Google Scholar
  15. 15.
    G. Yan, J. Lin, D. B. Rawat, and W. Yang, “A geographic location-based security mechanism for intelligent vehicular networks,” in Intelligent Computing and Information Science. Springer Berlin Heidelberg, 2011, pp. 693–698.Google Scholar
  16. 16.
    D. Jiang and L. Delgrossi, “Ieee 802.11 p: Towards an international standard for wireless access in vehicular environments,” in Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE. IEEE, 2008, pp. 2036–2040.Google Scholar
  17. 17.
    W. Xiang, J. Gozalvez, Z. Niu, O. Altintas, and E. Ekici, “Wireless access in vehicular environments,” EURASIP Journal on Wireless Communications and Networking, vol. 2009, no. 1, pp. 1–2, 2009.Google Scholar
  18. 18.
    J. Jeong, S. Guo, Y. Gu, T. He, and D. H. Du, “Trajectory-based statistical forwarding for multihop infrastructure-to-vehicle data delivery,” Mobile Computing, IEEE Transactions on, vol. 11, no. 10, pp. 1523–1537, 2012.Google Scholar
  19. 19.
    S. K. Gaur, S. Tyagi, and P. Singh, “vanet system for vehicular security applications,” International Journal of Soft Computing and Engineering (IJSCE), vol. 2, no. 6, 2013.Google Scholar
  20. 20.
    V. Kumar, S. Mishra, and N. Chand, “Applications of vanets: present & future,” Communications and Network, vol. 5, no. 01, p. 12, 2013.Google Scholar
  21. 21.
    M. Raya and J.-P. Hubaux, “Securing vehicular ad hoc networks,” Journal of Computer Security, vol. 15, no. 1, pp. 39–68, 2007.Google Scholar
  22. 22.
    D. B. Rawat, M. Song, and S. Shetty, Dynamic spectrum access for wireless networks. Springer, 2015.Google Scholar
  23. 23.
    R. K. Sharma and D. B. Rawat, “Advances on security threats and countermeasures for cognitive radio networks: A survey,” IEEE Communications Surveys & Tutorials, vol. 17, no. 2, pp. 1023–1043, 2015.Google Scholar
  24. 24.
    “Cognitive cycle,”, accessed: 2010-09-30.
  25. 25.
    J. Mitola III and G. Q. Maguire Jr, “Cognitive radio: making software radios more personal,” Personal Communications, IEEE, vol. 6, no. 4, pp. 13–18, 1999.Google Scholar
  26. 26.
    D. B. Rawat and G. Yan, “Spectrum sensing methods and dynamic spectrum sharing in cognitive radio networks: A survey,” International Journal of Research and Reviews in Wireless Sensor Networks, vol. 1, no. 1, pp. 1–13, 2011.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.Howard UniversityWashingtonUSA
  2. 2.Georgia Southern UniversityStatesboroUSA

Personalised recommendations