WEB APPLICATION FOR ACCIDENT PREDICTION AT ROAD–RAIL WAY CROSSINGS USING A HETEROGENEOUS QUEUEING SYSTEM MODEL

Abstract

In this paper, a web application is presented that simulates a previously published theoretical model of occurrence maximum crash risk at road–rail crossings. The primary objective of the research is to provide practical software implementation of a model Heterogeneous Queuing System for estimating potential accident risk using various input parameters. The core of the solution relies on a theoretical foundation designed to quantify the likelihood of collisions under different factors and conditions. To implement the model, a set of test scenarios (cases) was created to simulate various traffic conditions and crossing configurations, enabling validation of the theoretical assumptions. The web application was developed using Java Spring Boot for the bachend, PostgreSQL for data storage, and an Angular-based web interface that provides visualization, sorting, and ranking of the calculated risk values. The presented application demonstrates how established theoretical models can be implemented and analyzed through modern web technologies to support further research and decision-making in road–rail crossing safety assessment.