Statistical probability models for transport means fleet

Abstract

Some algorithms to forecast repair time of damaged vehicle, time losses for lack of drivers and various accidental hindrancesduring goods handling are proposed using methods of mathematical statistics and probability theory. Statistical information on transport means fleet is renewed and replenished in the course of time. With the growth of information amounts the costs of its storage increase as well. Therefore the relevant algorithms for obtaining required statistical assessments with the least statistical information are presented in the article. It is deduced that in the modelling of transport networks and freights as well as the flows of transport means in them, it is analytically proper to describe random factors by the non-parametric assessment.