Bayesian Safety Analyzer using multiple data sources of accidents

In this study, the authors demonstrate the development of a Bayesian Safety Analyzer (BSA) using multiple accident data sources as well as traffic flow data. Simulations of the developed model are conducted using MATLAB FullBNT toolbox where different parameter estimations are used. This study demonstrates the efficiency as well as flexibility of using Bayesian analysis on large data sets containing a large number of attributes. The developed BSA can be used in the incident management process. It can assist decision makers in estimating the severity of a certain incident based on given attributes for better preparedness. BSA can also be used in order to assess the safety transportation system.