Do Autonomous Vehicles Outperform Latest-Generation Human-Driven Vehicles? A Comparison to Waymo's Auto Liability Insurance Claims at 25 Million Miles
Authors
Abstract
Understanding the safety impact of Automated Driving Systems (ADS) is crucial for their widespread adoption, yet robust real-world evaluation remains a critical area of development. By leveraging insurance industry third-party auto liability claims, we analyze the Waymo ADS performance across 25.3 million fully autonomous miles (with no human in the driver seat) and demonstrate a consistent and scalable framework for ongoing ADS safety assessment. This study not only updates previous findings with expanded geographical coverage and increased mileage but also establishes a methodology for comparing ADS performance to evolving subsets of human-driven vehicles (HDV). We introduce two key innovations: a novel “latest-generation HDV” benchmark representing drivers of newer, technologically advanced vehicles (2018-2021), and a robust insurance dataset for ADS safety assessment. Results demonstrate that the Waymo ADS significantly outperformed both the overall driving population (88% reduction in property damage claims, 92% in bodily injury claims), and outperformed the more stringent latest-generation HDV benchmark (86% reduction in property damage claims and 90% in bodily injury claims). This substantial safety improvement 1 over our previous 3.8-million-mile study not only validates ADS safety at scale but also provides a new approach for ongoing ADS evaluation. Our findings provide crucial insights into the evolving safety landscape of ADS technology and have far-reaching implications for transportation safety policies, insurance risk assessments, and public acceptance of ADS technology. This methodology establishes a foundation for future research into the safety impact potential of ADS and offers a framework for assessment as these systems continue to scale and develop.