Baseline vulnerable road user injury risk in multiple U.S. dense urban driving environments
Waymo partnered with dashcam company Nexar to analyze 500 million miles of driving, including 335 crashes, to create the 'largest ever’ dataset of pedestrian and cyclist injuries
By Eamon T. Campolettano, John M. Scanlon, Ilan Kadar, Lev Y. Lavy, Daniel C. Moura & Kristofer D. Kusano
Understanding and modeling baseline driving safety risk in dense urban areas represents a crucial starting point for automated driving system (ADS) safety impact analysis. The purpose of this study was to leverage naturalistic vulnerable road user (VRU) collision data to quantify collision rates, crash severity, and injury risk distributions in the absence of objective injury outcome data.
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Peer-reviewed research, Cameras, Data science for social good, Hardware