👉 Understanding and modeling baseline driving safety risk in busy urban areas is essential for analyzing the safety impact of automated driving systems (ADS). This study aimed to use real-world collision data involving vulnerable road users (VRUs) to measure collision rates, crash severity, and injury risks without specific injury outcome data.
👉 From over 500 million vehicle miles, 335 collision events with VRUs were confirmed through video analysis, including 126 pedestrians, 144 cyclists, and 65 motorcyclists. Anonymized video and sensor data from vehicles with Nexar dash cameras were used. The collisions were assessed for factors like collision angles and time of day, using existing injury risk models to estimate injury severity.
👉 Results showed vehicle speeds at impact were between 0 to 39 mph, while VRUs ranged from 0 to 27 mph. Most events (95%) had a low injury risk (under 10% for MAIS3+). Collisions involving occlusions or unexpected VRU actions had higher injury risk estimates. It is estimated that around 55 individuals could suffer moderate injuries (MAIS2+) and approximately 6 could face serious injuries (MAIS3+).
followglobalnetwork
🔲 ANALYZING VULNERABLE ROAD USER INJURY RISK.
Paper: Baseline vulnerable road user injury risk in multiple U.S. dense urban driving environments
Authors: Eamon T. Campolettano, John M. Scanlon, Ilan Kadar,Lev Y. Lavy,Daniel C. Moura &Kristofer D. Kusano
Published: 01 Nov 2024
lnkd.in/eVpYtFp2
👉 Understanding and modeling baseline driving safety risk in busy urban areas is essential for analyzing the safety impact of automated driving systems (ADS). This study aimed to use real-world collision data involving vulnerable road users (VRUs) to measure collision rates, crash severity, and injury risks without specific injury outcome data.
👉 From over 500 million vehicle miles, 335 collision events with VRUs were confirmed through video analysis, including 126 pedestrians, 144 cyclists, and 65 motorcyclists. Anonymized video and sensor data from vehicles with Nexar dash cameras were used. The collisions were assessed for factors like collision angles and time of day, using existing injury risk models to estimate injury severity.
👉 Results showed vehicle speeds at impact were between 0 to 39 mph, while VRUs ranged from 0 to 27 mph. Most events (95%) had a low injury risk (under 10% for MAIS3+). Collisions involving occlusions or unexpected VRU actions had higher injury risk estimates. It is estimated that around 55 individuals could suffer moderate injuries (MAIS2+) and approximately 6 could face serious injuries (MAIS3+).
source: authors/globalnetwork
#vulnerableroaduser #vru #risks #waymo #MAIS #traffic #injury #prevention
9 months ago (edited) | [YT] | 0