See.Sense Smart Cycle Pilot Update

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Last July we announced that See.Sense was to initiate a pilot with Smart ICON, their unique smart cycling light, which gathers a wide range of anonymised sensor data directly from users, to inform city planners of the best ways to improve cycling infrastructure in the city, as well as develop better policies aimed at promoting safer cycling in the city.


The call for volunteers to trial this light was a huge success, with over 1,400 people signing up across the length and breadth of Dublin.


Though the pilot started in September with 500 volunteers from County Dublin and it is still ongoing. The data gathered will generate extensive insights for Dublin.


In the meantime, however, See.Sense is working with Queen’s University Belfast on the development of data outputs; this preliminary data analysis work has produced some fascinating findings and proves the value of real-time data gathered from cyclists:



This heat map indicates the most popular cycling routes in the city centre. It is notable the concentration of cyclists around the Grand Canal and East Wall areas.


The majority of journeys take place in the city centre but the pilot is also showing journeys from  as far as  Malahide and County Wicklow.


Further data shows one of the busiest areas in Dublin city centre encompassing Dublin City hall, Dublin Castle and Temple Bar. The Liffey Quays and the R137 are the most used routes in the area.


St. Stephens Green is frequented by  a large number of cyclists during the whole week. Most people travel from South Dublin into the high density employment areas of the Docklands. There are several adjacent routes in this area, all with cycling activity. This reflects the more developed network of cycling lanes.


Morning journey patterns –


Evening journey patterns –


These award-winning lights are designed to be daylight visible, enhancing cyclist safety in all lighting and road conditions. The light recently won ‘Best Bike Gadget’ in – the UK’s biggest online cycling website – and uses sensor technology to flash brighter and faster in riskier situations such as road junctions and roundabouts. In addition, the sensors can also anonymously gather data on the cyclist’s environment, including the quality of the road surface, cycling routes, accidents and near-miss events, thus providing accurate quantitative and qualitative data which allows the city to be mapped like never before.

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