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TitleDevelopment of a pedestrian injury prediction model for potential use in an Advanced Automated Crash Notification system
AuthorsPonte G, Nishimoto T
Year2017
TypeConference Paper
AbstractAdvanced 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.
Conference NameAustralasian Road Safety Conference
Conference AbbreviationARSC
Conference LocationPerth, Western Australia
Conference Date10-12 October 2017
NotesFull paper available from ACRS website

http://papers.acrs.org.au/index.cfm?action=main.paper&id=1146

Reference
Ponte G, Nishimoto T (2017). Development of a pedestrian injury prediction model for potential use in an Advanced Automated Crash Notification system. Australasian Road Safety Conference, Perth, Western Australia, 10-12 October 2017.