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• W2142081015 abstract "Fuel or energy savings of 10% or more can be achieved by providing train drivers with information on energy-efficient driving strategies. The Energymiser system uses optimal control theory to calculate a control strategy which minimises the mechanical work done by the traction system to move a train from its current location and speed to the next scheduled stop. The calculation takes into account the required arrival time at the next stop as well as train performance parameters and track gradients, curves and speed limits. The optimal speed and control profile is displayed to the driver in the cab. When a train is delayed, it is more efficient, where possible, to recover the delay gradually over the entire remainder of the journey than to recover quickly. However, the delayed train will often interact with other trains, causing further delays to propagate through the system and thereby impacting on the energy-efficiency of many trains. When the delays are sufficiently small, the interaction locations and sequence of interactions do not change. We demonstrate a numerical optimisation algorithm to find a set of interaction times that allows each affected train to finish on time wherever possible and that minimises total energy consumption for the whole set of trains. The new interaction times can be transmitted to Energymiser units on each of the trains, which will then calculate new optimal driving strategies to meet these times." @default.
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• W2142081015 date "2011-09-01" @default.
• W2142081015 modified "2023-09-26" @default.
• W2142081015 title "Energy-efficient recovery of delays in a rail network" @default.
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