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Ecodriving in high frequency rail services

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jun 2020 Italy Publisher:IEEEJournal:2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

Authors: Simonelli F.; Tinessa F.; Gallo M.; Romano A.; Marzano V.;

doi: 10.1109/eeeic/icpseurope49358.2020.9160651

handle: 11588/832467

Ecodriving in high frequency rail services

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Abstract

In recent years an increasing attention has been paid to energy efficiency in rail transportation. The problem of energy saving involves timetable and speed profile optimization and has been widely addressed in the literature. This paper deals with the trajectory optimization within high frequency rail systems, where the service is based on a scheduled headway rather than by a timetable. In this context, the reserve time holds for the whole line and the paper provides an assessment of its optimal split amongst the sections, taking into account the possible delays. This aspect enables the evaluation of the effects of delays on the trajectories optimization effectiveness.

Country

Italy

Related Organizations

Keywords

metro systems, energy saving, energy saving; metro systems; railway, railway

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average