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ICTD 2025

Connected & Automated Vehicles (CAV) Impacts

Pioneering CAV Operations for Mobility and Safety Enhancement Under Challenging Conditions

Understanding the Causes of Autonomous Vehicle Crashes in California

Tuesday, June 10, 2025
1:30 PM – 1:45 PM MT
Abstract: This study examines the factors influencing collisions involving autonomous vehicles (AVs) in California, using data from the state's AV crash database from 2020 to 2024. As AV technology continues to evolve, understanding the circumstances and causes of collisions is crucial for enhancing safety and advancing the deployment of autonomous systems. The analysis focuses on identifying patterns and key factors contributing to AV crashes, including roadway characteristics, environmental conditions, vehicle dynamics, and human factors. This study categorizes crash types and examines the role of external factors such as weather, lighting, and traffic conditions. It also evaluates the involvement of other road users, including pedestrians, bicyclists, and conventional vehicles. Results reveal significant trends in the types and causes of AV collisions, shedding light on common scenarios and potential risk factors. By investigating these aspects, the study provides insights into areas where improvements in AV technology and infrastructure may be needed to reduce crash occurrences. Recommendations include refining AV algorithms to better handle complex driving environments, enhancing roadway design for AV compatibility, and implementing policies to ensure safe integration with conventional traffic. The findings aim to inform policymakers, transportation planners, and AV developers in their efforts to improve the safety and reliability of autonomous vehicles.

Learning Objectives:

Attendees can expect to learn the following from this session:
  • Upon completion, participants will be able to understand the key factors contributing to AV collisions, including roadway characteristics, environmental conditions, and human factors.
  • Upon completion, participants will be able to identify trends and risk factors associated with AV crash types and involvement of other road users.
  • Upon completion, participants will be able to recognizing the implications for improving AV technology, infrastructure, and policies to enhance the safety and integration of autonomous vehicles.