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First, all severe PTW-related accidents from Safer Wheels are investigated to clarify common human factors, collision types, and PTW vehicle characteristics in different types of PTW serious accidents. The second objective is to conduct a broad and in-depth survey of existing PTW ADAS technologies to determine how they work during accidents. The third objective is to score the ADAS mentioned in the study. In particular, based on the data obtained from the first two objectives, the possible performance of the ADAS in each type of accident is comprehensively evaluated. The reliability ranking of existing ADAS technology is obtained and this ranking is used to discuss which ADAS has the best performance in recent PTW accidents combined with this analysis to provide more valuable design lessons for ADAS currently in development.

Blind spot warning working in straight road

The red shaded area shows the motorcycle's blind spots

Overview of Vehicle-to-Everything Technology

Intelligent transportation systems based on V2X and C-ITS networks are the most promising motorcycle traffic safety solutions under development. C-ITS stands for Collaborative Intelligent Transport Technology, which uses more advanced communication technologies to connect all road users in a traffic environment. The basic working principle of this technology is to communicate primary state data (position, speed, direction angle, etc.) with other vehicles and infrastructure through V2X communication. Riders are alerted when they cross the tracks of drivers or other vulnerable road users and instruct riders to slow down to avoid other road users. The DSRC system consisting of Roadside Unit (RSU) and On-Board Unit (OBU) was identified as the fastest and most stable mode of communication. Even at extremely high speeds, stable communication can be established between all road users in the area, guaranteeing extremely low communication delays.

Qihang Yang

Major project

The Future Development of Motorcycle ADAS based on needs identified from Motorcycle Accident Data