Review article

The use of intelligent transport systems enables obtaining reliable data on the parameters of the traffic flow, which facilitates determining the optimal model, algorithm, and the traffic management scheme. The article presents statistical data about accident rate based on the Poisson distribution, it also uses the Monte Carlo method to find the distribution function. The probabilities of accident occurrence hypotheses are based on Bayes formulas. The population of drivers is divided into four categories, depending on the propensity for accidents. The results obtained make it possible to determine the optimal requirements for the traffic algorithm in order to minimize traffic accidents and, in the future, achieve the “zero mortality” strategy.