Privacy Notice

Welcome on BABLE

We put great importance to data protection and therefore use the data you provide to us with upmost care. You can handle the data you provide to us in your personal dashboard. You will find our complete regulations on data protection and clarification of your rights in our privacy notice. By using the website and its offers and navigating further, you accept the regulations of our privacy notice and terms and conditions.


Challenge / Goal

Cycling is one of the most sustainable forms of transport, positively impacting on emission levels, congestion, and health. In recent years there has been a major, and welcome, increase in cycling across the Dublin region. But with this positive development comes increased pressure on local authorities to ensure sufficient cycling infrastructure is in place.


After a successful first trial during the 2016 Smart Cycle Challenge, (a Small Business Innovation Research (SBIR) project that sought technology solutions to help improve cycling across Dublin), Dublin City Council’s Smart Docklands partnered with See.Sense to explore how data could be crowd-sourced by cyclists to help improve city planning.

The project was part of a wider EU project, SynchroniCity, designed to accelerate the adoption of new technologies in cities, while dealing with privacy concerns and producing more sustainable solutions.

Throughout the summer of 2019, 800 volunteers across Dublin, Antwerp, and Barcelona took part in these innovative smart cycling projects, collectively crowdsourcing valuable data about their day-to-day experiences as cyclists. In Dublin, 200 cyclists received a See.Sense ACE bicycle light containing a sensor that collected information about the occurrence of near miss incidents, road surface quality, and the most frequently used cycling routes. Aggregated and anonymised data was subsequently shared with the council, supporting planners and engineers to make data-driven decisions when upgrading and expanding city cycle infrastructure.


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    Main benefits

  • Enhanced data collection

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