Large-Scale Modeling of VANET and Transportation Systems

  • Ahmed Elbery
  • Hesham A. RakhaEmail author
  • Mustafa ElNainay
Conference paper


Intelligent transportation systems (ITSs) are key components of future smart cities. These systems attempt to enhance the transportation system efficiency. ITSs utilize vehicular ad hoc networks (VANETs) to collect and disseminate data to be used in ITS applications. Consequently, the performance of the communication network can significantly impact the performance of ITS applications. Consequently, in this paper, we develop a large-scale modeling framework that is capable of modeling large-scale transportation and communication networks. First, we develop and validate a communication model that estimates the packet drop probability and delay for a single hop communication system using a Markov chain and the M/M/1/K queuing model. Then, we integrate this model with a connected vehicle (CV) eco-routing navigation system within a microscopic traffic assignment and simulation software. The fully integrated vehicular and VANET tool is then used to model and evaluate the performance of the CV eco-routing application on a real large-scale road network with a realistic calibrated vehicular traffic demand.


  1. 1.
    Ahn, K., Rakha, H.: Field evaluation of energy and environmental impacts of driver route choice decisions. In: Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE, pp. 730–735. IEEE (2007)Google Scholar
  2. 2.
    Barth, M., Boriboonsomsin, K., Vu, A.: Environmentally-friendly navigation. In: Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE, pp. 684–689. IEEE (2007)Google Scholar
  3. 3.
    Bianchi, G.: Performance analysis of the IEEE 802.11 distributed coordination function. IEEE J. Sel. Areas Commun. 18(3), 535–547 (2000)CrossRefGoogle Scholar
  4. 4.
    Boriboonsomsin, K., Barth, M.J., Zhu, W., Vu, A.: Eco-routing navigation system based on multisource historical and real-time traffic information. IEEE Trans. Intell. Transp. Syst. 13(4), 1694–1704 (2012)CrossRefGoogle Scholar
  5. 5.
    Eichler, S.: Performance evaluation of the IEEE 802.11 p wave communication standard. In: Vehicular Technology Conference, 2007. VTC-2007 Fall. 2007 IEEE 66th, pp. 2199–2203. IEEE (2007)Google Scholar
  6. 6.
    Elbery, A., Rakha, H., Elnainay, M., Drira, W., Filali, F.: Eco-routing using v2i communication: system evaluation. In: Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on, pp. 71–76. IEEE (2015)Google Scholar
  7. 7.
    Ericsson, E., Larsson, H., Brundell-Freij, K.: Optimizing route choice for lowest fuel consumption–potential effects of a new driver support tool. Transp. Res. Part C Emerg. Technol 14(6), 369–383 (2006)CrossRefGoogle Scholar
  8. 8.
    Hafeez, K.A., Zhao, L., Ma, B., Mark, J.W.: Performance analysis and enhancement of the DSRC for VANET’s safety applications. IEEE Trans. Veh. Technol. 62(7), 3069–3083 (2013)CrossRefGoogle Scholar
  9. 9.
    Hajlaoui, N., Jabri, I., Jemaa, M.B.: An accurate two dimensional Markov chain model for IEEE 802.11n DCF. Wireless Networks, pp. 1–13 (2016)Google Scholar
  10. 10.
    IEEE standard for information technology– local and metropolitan area networks– specific requirements– part 11: Wireless LAN medium access control (mac) and physical layer (phy) specifications amendment 6: Wireless access in vehicular environments. IEEE Std 802.11p-2010 (Amendment to IEEE Std 802.11-2007 as amended by IEEE Std 802.11k-2008, IEEE Std 802.11r-2008, IEEE Std 802.11y-2008, IEEE Std 802.11n-2009, and IEEE Std 802.11w-2009) pp. 1–51 (2010).
  11. 11.
    Jianhe Du Hesham, A. Rakha, A.E.M.K.: Microscopic simulation and calibration of a large-scale metropolitan network: Issues and proposed solutions. In: Annual Meeting of the Transportation Research Board, Washington, DC (2018)Google Scholar
  12. 12.
    Rakha, H.A., Ahn, K., Moran, K.: Integration framework for modeling eco-routing strategies: logic and preliminary results. Int. J. Transp. Sci. Technol. 1(3), 259–274 (2012)CrossRefGoogle Scholar
  13. 13.
  14. 14.
    Tinnirello, I., Bianchi, G., Xiao, Y.: Refinements on IEEE 802.11 distributed coordination function modeling approaches. IEEE Trans. Veh. Technol. 59(3), 1055–1067 (2010)CrossRefGoogle Scholar
  15. 15.
    Weng, C.E., Chen, H.C.: The performance evaluation of IEEE 802.11 DCF using Markov chain model for wireless LANs. Comput. Stand. Interfaces 44, 144–149 (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ahmed Elbery
    • 1
  • Hesham A. Rakha
    • 2
    • 3
    Email author
  • Mustafa ElNainay
    • 4
  1. 1.Department of Computer ScienceVirginia TechBlacksburgUSA
  2. 2.Charles E. Via, Jr. Department of Civil and Environmental EngineeringBlacksburgUSA
  3. 3.Bradley Department of Electrical and Computer EngineeringBlacksburgUSA
  4. 4.Department of Computer and Systems EngineeringAlexandria UniversityAlexandriaEgypt

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