In this paper we propose a simulation-based framework for evaluating energy-efficient solutions in train operation. The general framework is composed of an optimisation system able to generate energy-efficient station-to-station speed profiles, looped with a micro-simulation tool for simulating railway traffic conditions, in order to evaluate the impacts on railway systems (delays, conflicts) and energy savings. The optimisation system is a subroutine consisting of a Genetic Algorithm for optimal speed profile parameters optimisation, a speed profile generator, and an energy consumption model. The micro simulation tool allows the evaluation of the impact of energy efficient speed profiles on rail operation. The framework operates on a database composed by 4 subsets: timetable, rolling stock characteristics, signalling system, infrastructure features; the first subset can be considered as the result of scheduling or rescheduling procedures, while the others can be assumed to be fixed. The proposed framework has been applied on a real-scale case of an Italian suburban railway system.

Towards a simulation-based framework for evaluating energy-efficient solutions in train operation

Gallo M.
2014

Abstract

In this paper we propose a simulation-based framework for evaluating energy-efficient solutions in train operation. The general framework is composed of an optimisation system able to generate energy-efficient station-to-station speed profiles, looped with a micro-simulation tool for simulating railway traffic conditions, in order to evaluate the impacts on railway systems (delays, conflicts) and energy savings. The optimisation system is a subroutine consisting of a Genetic Algorithm for optimal speed profile parameters optimisation, a speed profile generator, and an energy consumption model. The micro simulation tool allows the evaluation of the impact of energy efficient speed profiles on rail operation. The framework operates on a database composed by 4 subsets: timetable, rolling stock characteristics, signalling system, infrastructure features; the first subset can be considered as the result of scheduling or rescheduling procedures, while the others can be assumed to be fixed. The proposed framework has been applied on a real-scale case of an Italian suburban railway system.
978-1-84564-766-7
Energy saving; Speed profile; Simulation
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12070/9268
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