Level crossing based on stochastic Petri nets models and social economic data

This paper focuses on the estimation of traffic risk of passive level crossing based on a mathematic model. Following the modelling of passive level crossing in respect of process with stochastic Petri nets, the application of social statistic data is explained. Hence traffic risk is estimated based on social economic data for parameters calibration, which is implemented by an approximation function representing the dependence of road traffic users’ behaviour from gross domestic product (GDP) of their nation. The model is validated by empirical data. (a) For the covering entry of this conference, please see ITRD abstract no. E217226.