Railway Systems and Energy Efficiency

Railway operations consume enormous amounts of energy, and even modest improvements in how trains are scheduled and controlled can translate into meaningful reductions in fuel use, emissions, and operating costs across dense urban and intercity networks. Researchers in this area study how to coordinate train movements in time and space—balancing punctuality, passenger demand, and energy use—through mathematical optimization, simulation, and real-time control algorithms. A particular focus has emerged around regenerative braking, where trains recovering kinetic energy during deceleration can feed power back into the grid, but only if the timing of nearby accelerating trains is carefully synchronized. Open questions include how to make rescheduling algorithms fast enough to respond to live disruptions without sacrificing energy savings, and how to design timetables that remain robust as passenger demand patterns shift.

Works

56,030

Total citations

199,632

Keywords

Train SchedulingRailway TimetablingEnergy EfficiencyTraffic ManagementRescheduling AlgorithmsUrban Rail Systems