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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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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11619 LNCS, pp. 129–141). Springer Verlag. https://doi.org/10.1007/978-3-030-24289-3_11
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