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Large-Scale Modeling of VANET and Transportation Systems

In: Traffic and Granular Flow '17

Author

Listed:
  • Ahmed Elbery

    (Virginia Tech, Department of Computer Science)

  • Hesham A. Rakha

    (Charles E. Via, Jr. Department of Civil and Environmental Engineering
    Bradley Department of Electrical and Computer Engineering)

  • Mustafa ElNainay

    (Alexandria University, Department of Computer and Systems Engineering)

Abstract

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.

Suggested Citation

  • Ahmed Elbery & Hesham A. Rakha & Mustafa ElNainay, 2019. "Large-Scale Modeling of VANET and Transportation Systems," Springer Books, in: Samer H. Hamdar (ed.), Traffic and Granular Flow '17, pages 517-526, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-11440-4_56
    DOI: 10.1007/978-3-030-11440-4_56
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