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Development of a Pedestrian Injury Prediction Model for Potential Use in an Advanced Automated Crash Notification System
Advanced Automated Crash Notification (AACN) systems can inform emergency services of a serious road crash with minimal delay, giving the precise location of the crash, and transmitting key information from the vehicle's event data recorder, including: the crashed vehicle's delta-V, occupant seatbelt use, airbag deployment and travelling speed. This information can be used to determine the likelihood of serious injury within the crashed vehicle using a suitable injury prediction algorithm. The focus of this paper is to present a proof of concept AACN pedestrian injury prediction model using South Australia crash data.