Alstom will introduce its new brand identity "mobility by nature" at Expo Ferroviaria 2019 (expoferroviaria.com) (1-3 October / Rho Fiera-MI) presenting its innovative and sustainable solutions for mobility. At the Alstom booth (n.108, pavilion 2) visitors will have a global overview of the company's latest solutions for transport and take a journey among the four main activities of Alstom: trains, infrastructure, signalling and services.
Innovation will be showcased through: Coradia iLint, already in passenger service in Germany, the first train in the world powered by a hydrogen fuel cell, which produces electricity for traction; the Coradia Stream "Pop" train, considered by Trenitalia the new generation train for regional transport, already operating in Emilia-Romagna and soon in other regions. Not only trains but also Aptis, Alstom's 100% electric e-bus, which last spring successfully completed its drive test in five Italian cities: Florence, Genoa, Bologna, Merano and Turin.
As far as infrastructure is concerned, Alstom will present its three catenary-free solutions : APS, a ground power system that, with the addition of a third rail between the two tracks, removes overhead lines, preserving thus the urban architectural heritage; SRS, a static ground recharging solution suitable for both trams and buses and Citadis Ecopack, batteries and super energy storage capacitors.
Signalling will also play an important role at Expo Ferroviaria 2019. Visitors will appreciate the potential of Mastria, the first multimodal supervision solution, connecting all actors of mobility in a given city: bus, tram and underground networks but also taxis, car and bike sharing, police, etc. The objective is to maximize the fluidity of all means of transport in a city and to orchestrate the itineraries of the passengers. The booth will also see the presence of an area dedicated to services with 4.0 maintenance examples and the HealthHub system, a preventive maintenance tool capable of monitoring the health status of trains, infrastructure and signalling resources, analysing advanced data to predict their remaining useful life.