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The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation.
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As moving across the European Union is encouraged for persons and goods, finding the smartest, most efficient and eco-friendly route can be complicated. To meet this challenge, the European project BONVOYAGE has set up a platform optimising multimodal door-to-door transport of passengers and goods. This platform integrates travel information, planning and ticketing services, by automatically analysing non-real-time data from heterogeneous databases, real-time measured data, and above all, user profiles and feedback.
“To put the user at the core, the CEA has developed intelligent implicit feedback functions, i.e. models based on machine learning,” explains Étienne Labyt, head of the project at the CEA-Leti1. “This allows both an automatic recognition of the transport modes just using the - usually - low cost sensors available in the user’s smartphones and a monitoring of the traveller’s stress level by using connected devices like a watch or wristband, which are available on the market.”
For the transportation of goods, BONVOYAGE enables better logistics that ultimately improve inventory management with just-in-time delivery, something that supply chains critically depend on. The ability to build demand/response systems that are responsive to the requests of user groups leads to better utilisation of transport units, and therefore reducing costs. Access to more up-to-date system and environmental information allows dynamic re-routing and a more efficient use of resources for a sector that relies on SMEs.
CEA is a French government-funded technological research organisation in four main areas: low-carbon energies, defense and security, information technologies and health technologies. A prominent player in the European Research Area, it is involved in setting up collaborative projects with many partners around the world.