This paper deals with a study to gain a better understanding about traffic accident phenomena in Bandung City, the capital of West Java. The principal concern, which is very important for traffic management, is on the following traffic accident parameters: daily accident rate, daily accident-hazard-level, probability of daily fatal accidents and daily fatal victim rates. This study includes data collection and summarization, which will be used to estimate those parameters by using the following three stochastic models; Generalized Poisson (GP) distribution to explain the first two parameters, Generalized Poisson-Quasi Binomial (GPQB) distribution and Generalized Poisson-Generalized Poisson (GPGP) distribution to explain respectively the third and the fourth parameters. A goodness of fit test will show the significance of those models and some important results will be discussed. (Author/publisher).
Abstract