Large-Scale Modeling of VANET and Transportation Systems

Ahmed Elbery (), Hesham A. Rakha () and Mustafa ElNainay ()
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Ahmed Elbery: Virginia Tech, Department of Computer Science
Hesham A. Rakha: Charles E. Via, Jr. Department of Civil and Environmental Engineering
Mustafa ElNainay: Alexandria University, Department of Computer and Systems Engineering

A chapter in Traffic and Granular Flow '17, 2019, pp 517-526 from Springer

Abstract: 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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-11440-4_56

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DOI: 10.1007/978-3-030-11440-4_56

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