"Bicycle manufacturing currently falls behind the fast technological \ndevelopments in automotive industries. We propose to design, develop and\n test a smart cycling eco-system where bicycles communicate in realtime \nwith each other, and with the urban transport infrastructure (e.g. \ntraffic lights) to optimize the use and improve traffic safety, \neconomical value, and efficiency. This require technologies and \nmechanisms to allow monitoring the bike, understanding the cyclist and \nthe context, as well as data sharing between cyclists, industry, service\n providers, government, and urban planners. The new eco-system can drive\n decision-making, behaviour incentivisation, and ultimately investment, \nacross government, and beyond. A key ingredient is an AI-enabled IoT \necosystem in which data is securely collected, shared, processed in \ncombination with other data sources, and made available to establish new\n services. This allows to reliably identify relevant events (like \ndangerous situations), detect trends (like decreasing performance of \ncomponents, allowing maintenance to be performed in time), and give new \ninsights to the user (such as health and performance)."