@article{ref1,
title="Energy efficiency driving strategy with Connected-Driving Advisory System (C-DAS)",
journal="Transportation research procedia",
year="2023",
author="Formato, Giuseppina and Carbone, Luca and Grassi, Fabio and Divano, Roberto and Segarich, Paolo",
volume="72",
number="",
pages="263-270",
abstract="Energy efficiency in the railway sector is highly influenced by the driving strategy adopted by the driver taking into account the scheduled timings and TMS regulations. An efficient driving strategy combined with good regulation can reduce significantly operating costs, improve service quality and increase environment sustainability. The rail sector shows an increasing interest for energy saving algorithms, combined to Driver Advisory System (DAS) or Automatic Train Operation (ATO), integrated with TMS information. This document will deal with the energy aspect taking into account the Timetable programming and TMS regulation. In particular, it focuses on the definition of appropriate speed profiles in order to optimize TMS time constraints and on the study of a C-DAS architecture which can be applied immediately to the current infrastructure.<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2023.11.403",
url="http://dx.doi.org/10.1016/j.trpro.2023.11.403"
}