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Communication Dans Un Congrès Année : 2021

Queuing theory based simulation model for vehicular mobility

Résumé

Mobility simulation models are important tools to the development of Intelligent Transportation Systems (ITS). These models allow to emulate the real-world characteristics of vehicular mobility operations in order to evaluate the capacity of ITS related protocols and services to deal with the highly dynamic mobility of vehicles. In this work, we provide a novel queuing theory based simulation model for vehicular mobility that functions in the Simulink/Matlab environment, and uses SimEvents toolbox. The proposed tool offers a graphic library composed of different modules each representing a mobility aspect. It is also suitable to simulate both urban and freeway scenarios under different traffic conditions. The model generates synthetic measures relevant to the assessment of road network performance such as average travel time, average delays and average queue lengths. A set of experiments are conducted to verify the ability of the model to reproduce the realistic behavior of vehicular traffic.
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Dates et versions

hal-03613778 , version 1 (18-03-2022)

Identifiants

Citer

El Joubari Oumaima, Jalel Ben-Othman, Véronique Vèque. Queuing theory based simulation model for vehicular mobility. ICC 2021 - IEEE International Conference on Communications, Jun 2021, Montreal, Canada. pp.1-6, ⟨10.1109/ICC42927.2021.9500977⟩. ⟨hal-03613778⟩
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