SynchroniCity Smart Cycling Project

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Seeking cyclists to crowd-source data to transform cities for cycling

 

As part of the SynchroniCity programme, Dublin City Council and Smart Dublin are delighted to launch the Smart Cycling Project, working in partnership with See.Sense and BT, as well as collaborator cities Antwerp and Manchester. The project aims to encourage growth in active travel, in particular cycling.

 

SynchroniCity is a large-scale pilot programme across 40 cities in Europe and globally, to trial 51 large-scale Internet of Things (IoT) solutions. Dublin is proud to be a new member city for this programme, exploring how  innovative technologies can be used to improve quality of life and city services.

 

 

 

The Smart Cycling Project will see hundreds of cyclists use the patented See.Sense IoT-enabled bike light and accompanying app, to collect crowdsourced sensor data and insights across the city.

 

Data will then be shared with city planners to gain a better understanding of the conditions faced by cyclists so that improvements can be made.

 

 

We are looking for applicants that cycle throughout Dublin City Centre, either for leisure or commuting.

 

Bonus points if you cycle through the following spots:

  • Grand Canal corridor – Between La Touche Bridge & Baggot Street
  • Fitzwilliam Cycle Route
  • Amien Street from Fairview in, along the new cycle route.

The project will run from June to August 2019. Those wishing to take part must register their interest with See.Sense click here to register . Post and packaging costs of £10 (estimated €11.50) will apply for each light. The light is complimentary (RRP £45) as part of the Synchronicity initiative.

 

Register here

 

Relevant Links

DV2 SynchroniCity Smart Cycling Project App Privacy Statement

See.Sense

BT

SynchroniCity

 

 

*Project participants are free to continue using the SeeSense Ace bike Light after project end date August 31st 2019 under general See-Sense Privacy Statement and Terms and Conditions.

Tags:

cycling, Data

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