Trends in Autonomous Vehicle Performance: A Comprehensive Study of Disengagements and Mileage

This study explores the trends and causes of disengagement events in Autonomous Vehicles (AVs) using data from the California Department of Motor Vehicles (CA DMV) from 2019 to 2022. Disengagements, defined as instances where control transitions from the AV to a human driver, are crucial indicators of the reliability and trustworthiness of Autonomous Driving Systems (ADS). The analysis identifies a significant correlation between cumulative mileage and disengagement frequency, revealing that 77% of disengagements were initiated by safety drivers. The research categorizes disengagements into system-initiated, driver-initiated, or planned for testing purposes, highlighting that environmental factors and interactions with other road users are the primary causes attributed to the AV system. The findings indicate a downward trend in the ratio of disengagements to mileage, suggesting improvements in AV technology and increasing operator trust. However, the persistent rate of manual disengagements underscores ongoing challenges regarding driver confidence. This research enhances the understanding of ADS performance and driver interactions, offering valuable insights for improving AV safety and fostering technology acceptance in mixed-traffic environments. Future studies should prioritize enhancing system reliability and addressing the psychological factors that influence driver trust in ADS.

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Publication Details

Journal
Future Transportation
Published
2025-04-01
DOI
https://doi.org/10.3390/futuretransp5020038
Citations
3
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
2.05
Controls
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article

Trends in Autonomous Vehicle Performance: A Comprehensive Study of Disengagements and Mileage

Seyed Rasoul Davoodi, Khaled Shaaban, Ehsan Kohanpour
3 citations
Future Transportation
Autonomous Vehicle Technology and Safety
2.05
article

Trends in Autonomous Vehicle Performance: A Comprehensive Study of Disengagements and Mileage

Seyed Rasoul Davoodi, Khaled Shaaban, Ehsan Kohanpour
article en
3 citations

Abstract

This study explores the trends and causes of disengagement events in Autonomous Vehicles (AVs) using data from the California Department of Motor Vehicles (CA DMV) from 2019 to 2022. Disengagements, defined as instances where control transitions from the AV to a human driver, are crucial indicators of the reliability and trustworthiness of Autonomous Driving Systems (ADS). The analysis identifies a significant correlation between cumulative mileage and disengagement frequency, revealing that 77% of disengagements were initiated by safety drivers. The research categorizes disengagements into system-initiated, driver-initiated, or planned for testing purposes, highlighting that environmental factors and interactions with other road users are the primary causes attributed to the AV system. The findings indicate a downward trend in the ratio of disengagements to mileage, suggesting improvements in AV technology and increasing operator trust. However, the persistent rate of manual disengagements underscores ongoing challenges regarding driver confidence. This research enhances the understanding of ADS performance and driver interactions, offering valuable insights for improving AV safety and fostering technology acceptance in mixed-traffic environments. Future studies should prioritize enhancing system reliability and addressing the psychological factors that influence driver trust in ADS.

Future TransportationVol. 5(2)
Utah Valley University (US), Golestan University (IR)
Openalex Percentile: Top 14%
Autonomous Vehicle Technology and Safety
2.05
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Trends in Autonomous Vehicle Performance: A Comprehensive Study of Disengagements and Mileage — Seyed Rasoul Davoodi, Khaled Shaaban, et al. · Future Transportation (2025) | TGRS Research Map | TGRS