Eco-Driving in Railway Lines Considering the Uncertainty Associated with Climatological Conditions

Eco-driving is a keystone in energy reduction railways and fundamental tool to contribute the Sustainable Development Goals transport sector. However, its results real applications are subject uncertainties such as climatological factors that not considered train driving optimisation. This paper aims develop an eco-driving model design efficient commands considering uncertainty of conditions. temperature, pressure, wind modelled by means fuzzy numbers, optimisation problem solved using Genetic Algorithm with parameters making use accurate railway simulator. It has been applied realistic Spanish high-speed scenario, proving importance adapt them. The obtained show savings expected without account for 29.76%, but if they considered, can rise up 34.7% summer With proposed model, variation 5.32% when winter scenarios compared while punctuality constraints fulfiled. In conclusion, allows operator estimate better obtaining optimised adapted climate.