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Development of a Pedestrian Injury Prediction Model for Potential Use in an Advanced Automated Crash Notification System

Ponte, G.

New Technologies in Road Safety

ARSC conference 2017

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.