A study of US crash statistics from automated crash notification data

Verma, Mukul K.; Lange, Robert C.; McGarry, Daniel C.

Affiliations

Abstract

This paper analyzes data available as part of telematics-based automatic collision notification in vehicles so equipped for all cases of frontal impact that generated the collision notification. Such data are transmitted as part of collision notification system and intended to enhance the effectiveness of emergency services in providing timely and appropriate care to vehicle occupants. Only the information related to vehicle kinematics is used for the present study and any information that may uniquely identify vehicle customers was removed.

The correct values of maximum velocity change during these crashes are presented here. It was also possible from this data to generate estimates of the time period over which these velocity changes occurred. Since injury parameters measured in tests are related to the rate of dissipation of the vehicle’s kinetic energy, the availability of the information regarding the time period for maximum velocity change greatly enhances the value of crash data in defining crashes and thus in setting research priorities for improving traffic safety.

Links

URL: http://www-nrd.nhtsa.dot.gov/pdf/esv/esv20/07-0058-O.pdf

Cited Works (1)

Year	Entry
2005	Niehoff P, Gabler HC, Brophy J, Chidester C, Hinch J, Ragland C. Evaluation of event data recorders in full systems crash tests. In: Proceedings of the 19th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 6-9, 2005; Washington, DC.

Cited By (1)

Year	Entry
2017	Lange R, Kelly S, Senatore C, Wilson J, Yee R, Harrington R. Data requirements for post-crash analyses of collisions involving collision avoidance technology equipped, automated, and connected vehicles. In: Proceedings of the 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 5-8, 2017; Detroit, MI.