  Active travel is an essential component in intelligent transportation
systems. Cycling, as a form of active travel, shares the road space with
motorised traffic which often affects the cyclists' safety and comfort and
therefore peoples' propensity to uptake cycling instead of driving. This paper
presents a unique dataset, collected by cyclists across London, that includes
video footage, accelerometer, GPS, and gyroscope data. The dataset is then
labelled by an independent group of London cyclists to rank the safety level of
each frame and to identify objects in the cyclist's field of vision that might
affect their experience. Furthermore, in this dataset, the quality of the road
is measured by the international roughness index of the surface, which
indicates the comfort of cycling on the road. The dataset will be made
available for open access in the hope of motivating more research in this area
to underpin the requirements for cyclists' safety and comfort and encourage
more people to replace vehicle travel with cycling.
