Algorithm Based on Gust and Flood Forecasts for Managing Train Operation Control and Passenger Evacuation

Abstract

Climate change has led over recent years to a rise in short, heavy rain and there is concern that tornadoes and floods etc. will also increase. RTRI is therefore developing a dynamic hazard mapping system as a technique to reduce injury to railway passengers and damage to railways in case of such disasters. Using the results from hazard mapping evaluations, an algorithm was developed to aid decision making about where to stop trains, and when necessary, where to evacuate passengers. This paper reports on the algorithm for managing train operations in such circumstances and offers guidance for evacuating passengers.