The digital capabilities offered by current cycling products allow cyclists to visualize dynamic information about their ride, such as travelled distance, speed or current battery capacity. However, the truly disruptive potential of this technology is yet to emerge from the endless possibilities that can be opened by combining the digital affordances of each bicycle with other many other similar bicycles and with the broader ecosystem of urban services and applications. These new paradigms represent a huge opportunity for combining individual mobility freedom with new sources of collective urban intelligence that would generate value for individual cyclists, significantly improving their experience, while at the same time becoming an enabler for many types of optimizations that can benefit the entire mobility system and the city as a whole. In particular, Bike Sharing Systems represent a particularly interesting opportunity to catalyse these forms of collective intelligence. They introduce into the city a large number of identical bicycles, all of which will essentially share the same operational principles and information infrastructure. This represents an opportunity to circumvent the major obstacles that have been undermining the capability to create crowdsourced services for cyclists. The Easy Ride Intelligent Fleet / Swarm of e-scooters project is part of the Easy Ride R&D Programme, a University-Industry Collaborative Partnership between Bosch Car Multimedia Portugal, S.A. and University of Minho. The project studies the new opportunities created by the integration of digitally enhanced bicycles in urban environments. This research is organized around 3 complimentary dimensions: the enhanced cycling experience, the optimisation of the bike sharing operations, and the added value for the sustained promotion of urban cycling. The expected results include: The specification of generic mobility optimization services that can be created and maintained based on the information generated by the use of shared bicycle systems; An assessment of different incentive mechanisms and their ability to induce individual behaviour of cyclists contributing to the collective benefit; A mapping of the technical features of eBikes in a set of information services that depend on them; A comprehensive view of the reality of cycling mobility and the various roles that IT can play in this context; and the specification, prototyping and evaluation of a new concept of mobile application for urban cycling.