Solution methods, most tool implementations support only a singleįormalism. The first directly through a lower energy consumption, while the second indirectly by optimizing the modalities of transport inside a city.ĭespite the development of many modeling formalisms and model Both result in a lower environmental impact. Hence, the main aspects of a Smart Station are: an increased energetic efficiency an integration with mobility informations offered by a Smart City. Examples of different applications of this technology are the heating of the rail road switches, the enlightening of the station, wireless connections and many others. With this technology, it is possible to implement strategies for managing the energy consumptions of a smart station and avoid waste of energy. These systems used ASK or FSK modulations, with maximum throughput of 4800 bps. In Italy they are known for the ENEL smart meters, that communicate with the concentrator through Powerline. These are new modalities of communication, widely used in several countries. Indeed, they represent a technological innovation, obtained without building new expensive infrastructures, because they relies on Pow-erlines. Smart Stations represent an opportunity for a more efficient management of ma-chineries and energetic resources. Moreover, there are no services which offer real time trains traffic informations on-line. In other countries, services are available to gather informations from timetable of trains, availability of bike-sharing, car-sharing, taxi, hotels, in order to offer aggregate booking services to end-up users. Recently, smart services have been developed for booking and printing on-line tickets (for example SMS tickets), but they are still limited to the railway station system. timetable of departures and arrivals and vocal announcements. For example, the services offered to end-up users are limited to informations about railway traffic, i.e. Second, the station system is excluded from modern techniques of energy saving. bike sharing, car-sharing, urban transport) could be shared. First, there is no integration with the so-called Smart Cities, where informations between different transport systems (i.e. ![]() However, this isolation has two main drawbacks. ![]() Indeed, they have a private energy distribution and communication system, mainly for preventing blackouts and unauthorized intrusions. Railway stations are a primary point of aggregation in every urban centre, but traditionally they are isolated from the urban context. Optimising the energy consumption of a rail road switch heating system is the proposed case study. We discuss Stochastic Model-Based Analysis for studying reliability and energy consumption in the context of Smart Stations. These aspects result in a lower environmental impact. 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. Sharing traffic informations from Smart City transports (i.e.
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