Supporting the design of intelligent railway stations
Basile D., Di Giandomenico F., Gnesi S.
Model-based analysis Green IT Dependable Computing C.4 PERFORMANCE OF SYSTEMS I.6 SIMULATION AND MODELING C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS
Sharing traffic informations from Smart City transports (i.e. bike-sharing, car-sharing) with traffic informations from railway stations is important in order to improve the end-user services and to optimise the energy consumption. These aspects result in a lower environmental impact. We discuss Stochastic Model- Based Analysis for studying reliability and energy consumption in the context of Smart Stations. Optimising the energy consumption of a rail road switch heating system is the proposed case study.
Source: CINI Annual Conference on ICT for Smart Cities & Communities, Palermo, Italy, 29-30 Ottobre 2015
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@inproceedings{oai:it.cnr:prodotti:362799,
title = {Supporting the design of intelligent railway stations},
author = {Basile D. and Di Giandomenico F. and Gnesi S.},
booktitle = {CINI Annual Conference on ICT for Smart Cities \& Communities, Palermo, Italy, 29-30 Ottobre 2015},
year = {2015}
}
0000-0002-7196-6609