Secondary abstract: |
Motorcycle remains the most risky means of transportation per kilometer. A relatively large proportion of accidents represent collisions on the motorcycle from the rear. In emergency, brake light, considered the most important source of information, does not provide clear information of the motorcyclist's maneuver to the following driver. Within this thesis, we developed a prototype called Motorcycle Emergency Braking Warning System (MEBWS), which implements accelerometer and Lidar to analyse motorcycle-driving conditions in real-time. In case of emergency stop, system alerts following participants of the road traffic with a dedicated, flashing brake light. However, MEBWS also monitors driving behaviours of the following drivers. If the vehicle is approaching stationary or slowly moving motorcycle with too high speed, system warns of its presence with an autonomous flashing brake light. This increases the attention conspicuity, shortens response time and reduces the chance of a collision. |