Statistical modelling of bus travel time with Burr distribution

A better understanding of the travel time distribution shape or pattern could improve decision made by transport operator to estimate required for vehicle from one place another. Finding most appropriate represent day-to-day variation an individual link a bus route is main purpose this study. Klang Valley, Malaysia study area research. consecutive 7 months ten routes automatic location (AVL) data are used examine performance. The leading proposed research Burr distribution. Both symmetrical and asymmetrical distributions that have been in existing studies also comparison purposes. Maximum likelihood estimation applied parameter while loglikelihood value, Akaike information criterion (AIC) Bayesian (BIC) performance assessment distributions. Promising results obtained model all different kinds operating environment be treated as preliminary preparation further reliability analysis.