Enhancing Connecticut’s Crash Data Collection for Serious Injury and Fatal Motor Vehicle Collisions
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2018-02-27
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Abstract:The Connecticut Crash Data Repository houses extensive data on all traffic crashes in Connecticut. However, pre-crash data and certain driver behaviors are unavailable as they cannot be gathered through traditional crash investigatory approach that does not involve use of an event data recorder. An Event Data Recorder (EDR), sometimes referred to as an automotive black box, is a valuable tool that can provide comprehensive snapshot of the entire crash event – pre-crash,crash and post-crash – including driver behavior on seatbelt use, gas and brake pattern. This study focused on enhancing Connecticut’s crash data collection for serious injury and fatal motor vehicle collisions using the EDR data. Five case studies were examined under this study and they vary in type of collision, vehicles involved, cause of crash, injury severity, and driver behavior. The Bosch crash data recorder was used for retrieval of EDR data. In all the collisions, crash investigators were not able to determine exact speed of the vehicles involved or driver behavior at the time of crash by the traditional crash investigatory approach. However, EDR downloads provided this specific data to aid their investigations. Findings from this study showed that EDR data can help evaluate the true cause of a collision as well as identify reckless driver behavior. Furthermore, the implementation of a formal EDR data collection procedure will improve the efficiency of data collection for collision analysis systems. The ready availability of EDR data, in a crash database, will enable highway safety researchers to address numerous elusive research questions.
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