An Optimized algorithm to select the most appropriate gate type for a given level crossing in Sri Lanka

Abstract

The current railway system in Sri Lanka ,there are 1687 Railway Level Crossings Systems (RLC) with three types of RLCs protection methods namely RLCs with barriers, RLC with bell and light, and unprotected RLCs. As per our observation, we identified that there is no decision criterion on identifying the most suitable RLC protection mode for different RLC environments in the current railway system and this leads to an increase in the collision rate of the road traffic and the train schedule. Therefore, as a solution in this work, an accurate prediction method is introduced based on the 'Regression Tree Analysis' method to identify the most appropriate component out of barriers or bell and light in a specific RLC.