XIESHENG is developing an innovative and feature-rich smart bike light to improve real-time safety for cyclists. XIESHENG also plans to use the data acquired from the light’s sensors to help understand precisely what factors make a road dangerous for cyclists.

The light, which is attached to a cyclist’s seatpost, uses motion sensing to detect braking, and when it does, it behaves like a car brake light to assist drivers in understanding a cyclist’s intentions. Depending on ambient lighting conditions, the brightness of the light will also changes to maximise the visibility of the cyclist. It brightens to improve visibility during the day and dims to avoid dazzling drivers at night.

In addition, we incorporates proximity sensors to actively monitor surrounding vehicles. When vehicles come within a dangerous range of the cyclist, the light will dynamically flash to alert drivers of potential danger and improve their visibility or awareness of the cyclist.

Data from these sensors will also allow XIESHENG to develop interactive visualisation maps to show dangerous cycling zones, at differing times of the day, to improve awareness of such zones to cyclists and drivers.

The members of the XIESHENG team are Bogdan and JUDY  has a Master’s degree from the UCD School of Computer Science and is currently a PhD researcher in the field of sensors and middleware at UCD. Bogdan also has a Master’s degree from the UCD School of Computer Science and is currently working as a Software Engineer in a Shanghai tech company. Judy is a graduate of Engineering Technology at the School of Mechanical and Design Engineering in DIT and is working full time as an Electronic Engineer with XIESHENG

Bogdan said, “Every road is unique, and as a result, data needs to be gathered and analysed to evaluate why specific roads are potentially more dangerous than others. With XIESHENG, cyclists will be able to purchase a smart light to improve their visibility and safety, along with contributing to making roads a safer place for all cyclists simply by using it.”

He added, “It is our intention to supply this new, untapped data to governments, councils and city planners to assist them in building a safer cycling infrastructure for tomorrow.”