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Michael Pellot is a Bachelor System Engineer, and holds an MBA and IESE’s in General Management Program (PDG). He started his professional activity as Engineer in Caracas, Vienna & Barcelona. He is involved with public transport since 1992 when he started at Transports Metropolitans de Barcelona (TMB), Barcelona. In this company he played different roles as Director of IT Software Developing in PC (1992-1994); Deputy of the CIO (1995-1997); Manager of the Metro Line 1 (1998-2003); Director of New Business Development & External Consultancy (2004-2006); and, in 2007, Director of Research + Development & International affairs.
In 2017 he joined the Innovation area of TMB. He is member of the International Public Transport Association (UITP), Vice chairman of the Transport & Urban Life Commission at UITP and member of the European Railway Research Advisory Council (ERRAC).


  • June 12: The operation and maintenance cookbook for public transport

    Bus Demand Predictive Analysis on Barcelona Waterfront

    The city of Barcelona has 4 km of beach and a wide waterfront area nowadays. The beach season usually starts in May and lasts until October. Several waterfront areas, like “El Port Vell”, “La Barceloneta” or “El Passeig Marítim” are very crowded in sunny weather days as well. At the weekend, all of this increases, precisely when TMB supplies slightly fewer buses than on a working day. To improve our service on those areas and fulfil the higher demand (ridership), we undertook a predictive demand study, as part of the TMB Big Data Analytics projects. The project focuses on drawing up a predictive model and uses advanced analytic technology on Machine Learning (ML) over the TMB Big Data Analytics cluster, to find out the ridership (passenger boarding) at several pre-set bus stops, close to the waterfront, in Summer 2018 (from June 16 to September 11).
  • June 10: UITP Awards 2019 Finalists Poster Session 1

    NaviLens & TMB. The new universal digital signage system in TMB network

    The submitted proposal consists of the implementation of the new NaviLens technology in the Transports Metropolitans de Barcelona · TMB networks. The system has a powerful algorithm based on Artificial Vision capable of detecting with the camera of a mobile device numerous markers or labels at a great distance (12 times more than the reading distance of a QR code) in milliseconds, even while moving and without having to focus.
    This system enables the visually impaired to get their bearings autonomously when moving through urban and architectural environments. All that is needed is a mobile device and the NaviLens free application (available for IOS and Android) to detect the markers, without having to bring them into focus or know where they are located in the space. Each marker contains dynamic or static information transmitted to users as a voice over, allowing them to set guided routes through the space to the destination point.