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The Effect of Advanced Automatic Collision Notification (AACN) on Road Fatality Reduction in Sweden

Jonathan Jonsson (Institutionen för tillämpad mekanik, Fordonssäkerhet) ; Nils Lübbe (Institutionen för tillämpad mekanik, Fordonssäkerhet) ; Johan Strandroth (Institutionen för tillämpad mekanik) ; Robert Thomson (Institutionen för tillämpad mekanik, Fordonssäkerhet)
Proceedings of the 3rd International Symposium on Future Active Safety Technology Towards Zero Traffic Accidents (FAST-zero 2015) (2015)
[Konferensbidrag, övrigt]

This paper aims at estimating the effect of the Advanced Automatic Collision Notification (AACN) post–crash system on road fatality reduction in Sweden. The analysis was based on the Swedish Traffic Accident Data Acquisition (STRADA) database in combination with in-depth studies of fatal accidents. Logistic regression with backward selection was used to identify relevant variables and develop a statistical model. The variables ‘admission to trauma center’, ‘age’ and ‘injury severity’ were identified as significant and by applying the final model on fatalities in passenger cars the estimated fatality reduction due to AACN was calculated. AACN was estimated to potentially reduce road fatalities by 9.6% (95% CI = -0.1-18.4%)

Nyckelord: Advanced Automatic Collision Notification, AACN, post-crash, injury prediction, fatality reduction, hospital classification, emergency medical service

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Denna post skapades 2015-09-04. Senast ändrad 2016-09-10.
CPL Pubid: 221959


Institutioner (Chalmers)

Institutionen för tillämpad mekanik, Fordonssäkerhet (2005-2017)
Institutionen för tillämpad mekanik (1900-2017)


Informations- och kommunikationsteknik
Hållbar utveckling
Innovation och entreprenörskap (nyttiggörande)
Folkhälsomedicinska forskningsområden

Chalmers infrastruktur