Abstract
This paper presents an analysis how different acceleration policies to reach the maximum speed of the road, considered as a heterogeneity unobserved in usual measurements, influence the probability of occurrence of Dangerous Situations (DS) that can lead to accidents between vehicles. For this, a modified version of the NaSch model is proposed. The probability Density Function (PDF) Beta is used to describe these distinct behaviors. The effect of these policies on the traffic dynamics was also analyzed. A new metric is presented so that we can analyze results where real deceleration rates data are used to evaluate accident probability.
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Authors thank CNPq/PIBIC/PIBIT (UFF, LNCC) scholarship.
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Almeida, I.M., Leal-Toledo, R.C.P., Toledo, E.M., Cacau, D.C., Magalhães, G.V.P. (2018). Drivers’ Behavior Effects in the Occurrence of Dangerous Situations Which May Lead to Accidents. In: Mauri, G., El Yacoubi, S., Dennunzio, A., Nishinari, K., Manzoni, L. (eds) Cellular Automata. ACRI 2018. Lecture Notes in Computer Science(), vol 11115. Springer, Cham. https://doi.org/10.1007/978-3-319-99813-8_40
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