Scientific Director, LIFT
Giovanni Longo received a degree in Civil Engineering in 1993 and is PhD in Transport Engineering since 1997. He is professor of “Transport Planning”, “Transport System Design” and “Railway Operations” at the University of Trieste, Italy. He has been involved in a number of projects in the field of transport planning, traffic management and control, and railway operations analysis and simulation in Italy and in 27 foreign Countries in the world. He is founder and scientific director of LIFT (which is a spin-off company of the University of Trieste founded in 2007). He has published more than hundred scientific papers in refereed journals and conference proceedings.
In railway systems, the energy-efficient timetable calculation could have a large impact on energy-savings. Nevertheless, timetables are usually calculated without considering energy consumption in real life operations.
Energy-Efficient Train Timetabling Problem (EETTP) consists in the energy-efficient timetable calculation considering the trade-off between energy efficiency and travel time duration. In this context, a number of models and algorithms exist to compute the optimal train trajectories. However, finding the optimal sequence and switching points of the optimal driving regimes is a not trivial task. In this work, this problem has been faced through the integration of modeFRONTIER and the micro-simulation engine OpenTrack. With reference to a metro line in Turkey, a Pareto Frontier has been identified to minimize both travel time and energy consumption. The comparison with real data enables an estimate of the possible expected improvements. This approach enables the formulation of the best speed profile for each train, which may be used in real life operations.