Caracterización predictiva del flujo y la congestión vehicular mediante modelamiento probabilístico para el análisis del rendimiento óptimo de una VANET

Abstract

The following document uses a road scenario called VANET to obtain a predictive characterization of vehicular flow by means of a probabilistic model. First, different routes must be obtained by where the cars pass and in that way a vehicular flow is generated. After obtaining mobility, traces of data are obtained which are evaluated by means of hydrodynamics of smoothed particles to obtain a mobility pattern according to the greater vehicular traffic in the VANET network, in this way the probabilistic analysis is carried out by means of chains of Markov to evaluate the behavior of the vehicular network.