When a crash occurs between a bicycle rider and a driver, it is the cyclist that is most likely to be injured. Moreover, while extensive research and city planning goes into making driving more safe in urban areas, the same cannot be said for bicycle riding. The slim amount of research that is being done on bicycle safety is retroactive and limited. This project aims to make bicycle riding more safe by analyzing the visibility of biker helmets to other bikers or drivers. This project leveraged Tobii eye tracking glasses, which are high-technology glasses that record gaze movements and fixations of the glasses-wearer. The first acquisition process required a stalled driver to wear the glasses as bikers rode by, each with different helmet specifications and colors, while the other data acquisition process required a moving bike rider to wear the glasses as others stood staggered on the path with different helmets. This project specifically compared normal helmets to Lumos helmets, which are high-technology and outfitted with various LEDs. At night, Lumos helmets were 280% more visible to the human eye than helmets without LEDs. During the day, the results were inconclusive as to which helmet was the most visible. The conclusions of this project are two-fold: first, wearing lights on a helmet at night makes a rider 2.8 times more visible; second, and most importantly, it is possible to analyze safety without focusing on KSI data or using a simulation.

Demo Day video: https://youtu.be/8HM80JXwqII

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