Abstract
This paper presents a model to evaluate how heterogeneities in road traffic caused by different driver’s profiles affect the dynamics of traffic on a road with an unsigned intersection. These driver’s profiles, defined by the use of different acceleration policies, are not observed in usual measurements and can only be evaluated through computational simulations. A modified Nagel-Schreckenberg (NaSch) cellular automata model with a Probability Density Function (PDF) Beta is used to model these distinct behaviors, where each driver profile is represented by a Beta PDF. The analysis of space-time diagrams herein obtained and traditional traffic diagrams corroborate the importance of taking into account different profiles of drivers on the road.
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Authors thank CNPq/PIBIC/PIBIT (UFF, LNCC) scholarship.
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de Almeida, I.M., Leal-Toledo, R.C.P., Toledo, E.M., Cacau, D.C., de Lima, R.C.N., Malta, S. (2019). Influence of Drivers’ Behavior on Traffic Flow at Two Roads Intersection. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11619. Springer, Cham. https://doi.org/10.1007/978-3-030-24289-3_11
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DOI: https://doi.org/10.1007/978-3-030-24289-3_11
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