Comparison Of Arrival Models In The Context Of Urban Transport

Abstract

The process of modeling a random process requires a careful analysis and a correct interpretation of the behavior of the process. In different contexts, different statistical distributions may be eligible for the same model obtained in the study. In response to this situation created quite often in practice, we make use of statistical analysis methods to make possible comparison and decision making regarding the selection of the most appropriate model. In our study the usage of such methods is illustrated by comparing two of models commonly mentioned in literature when it comes to bus headway times modeling. Models under consideration are Gaussian model and Poisson model. To evaluate the performance of these models visual and analytical methods are used in this study. The simulation of these processes is made possible using the power of R language. Although both models have their practicability in a certain degree, tests showed that the Gaussian model fits best with the real model