Energy Consumption Minimization Problem In A Railway Network
Author(s) -
Teresa Montrone,
Paola Pellegrini,
Paolo Nobili
Publication year - 2017
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2017.03.013
Subject(s) - energy consumption , computer science , computation , consumption (sociology) , minification , mathematical optimization , energy (signal processing) , simple (philosophy) , energy minimization , focus (optics) , perspective (graphical) , operations research , engineering , algorithm , artificial intelligence , mathematics , social science , philosophy , statistics , chemistry , computational chemistry , physics , optics , epistemology , sociology , electrical engineering , programming language
When train operations are perturbed, a new working timetable needs to be computed in real-time. In the literature, several algorithms have been proposed for optimizing this computation. This optimization usually does not consider energy consumption. However, minimizing energy consumption is a central issue both from the environmental and economic perspective. In this paper, we address the real-time problem of minimizing the energy consumption. The energy consumption depends on driving regimes used by the train drivers. Hence, we focus on the decision of the appropriate driving regimes throughout each train's travel along a given infrastructure. A model and solution approach for this problem are provided. We show a proof of concept on the applicability of this solution approach on a simple test case
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