Naturalistic Driving Database Development and Analysis of Crash and near-Crash Traffic Events in Honolulu

University Transportation Centers Program2021PDFTech ReportPrevedouros, Panos DPereira, Luana CarneiroUniversity of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET)University of Hawaii at Manoa. Department of Civil and Environmental EngineeringUnited States. Department of Transportation. University Transportation Centers (UTC) ProgramUnited States. Department of Transportation. Office of the Assistant Secretary for Research and TechnologyUniversity of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET)HawaiiUnited StatesAutomatic data collection systemsCrash characteristicsDatabasesNear crashesTraffic crashesRear end crashesRegression analysisDistractionINE/CSET 21.0869A3551747129July 2019 to August 2021Dashboard cameras and sensors were installed in 233 taxi vans on Oahu, Hawaii which produced several hours of events classified as naturalistic driving data (NDD) in a period of seven months between fall 2019 and spring 2020. The study achieved its objectives to: (1) collect data from NDD events where driving maneuvers caused an acceleration of 0.5g or higher; (2) develop a database suitable for statistical analysis; (3) derive basic statistics for all variables; (4) investigate correlations between variables; and (5) further investigate correlations (which may represent causality effects) for the most frequent types of events, using stepwise linear regression models. The database included a total of 402 harsh events, of which were 398 near-crashes and four were crashes. Several variables such as road, environmental, driver and vehicle characteristics were coded for each event. The installation of Samsara by the CTL company proved to be a successful tool for coaching drivers, and for providing useful insights into traffic safety factors relating to near-miss events.127