Eco-driving is considered a key measure to reduce the energy consumption of railway systems. Eco-driving consists in finding the speed profile that requires the minimum energy consumption without degrading commercial running times or passenger comfort.

The research presented in this thesis develops optimisation models for the calculation of train eco-driving based on detailed and realistic simulation of the train movement. The models proposed investigate Nature Inspired Computational Intelligence techniques because of their suitability to use realistic train simulation results.