I started this project with aim of capturing the safety conditions that cyclists encounter on the roads, with the vision to build a data set capable of guiding infrastructure planning decisions and other similar type work.
This is achieved through creating a large and constantly growing empirical data set, capturing data about the surroundings of the cyclist. The output from this used as an indicator of safety (as opposed to relying on accident statistics and perceived safety data).

Why Picycle? Because at the heart of the data capture is a Raspberry Pi!

Credit is given to Dr Rich Boakes for his support in cultivating the idea and the mentorship provided.