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The most difficult at-fault fatal crashes to avoid with current active safety technology
Tapio Koisaari1, Roni Utriainen2, Timo Kari3
1Department of Engineering Design and Production, Aalto University, Aalto, Finland; Finnish Crash Data Institute, OTI, Helsinki, Finland.
Current active safety systems (up to SAE Level 2) cannot prevent all fatal crashes, with suicides, driver actions, and environmental conditions posing significant challenges. These findings offer a benchmark for future automated driving development.
Area of Science:
- Road Safety Research
- Automotive Engineering
- Human Factors in Transportation
Background:
- Current advanced driver-assistance systems (ADAS), up to SAE Level 2 automation, are increasingly common in passenger vehicles.
- Understanding the limitations of these systems in preventing fatal crashes is crucial for future automotive safety development.
Purpose of the Study:
- To determine which fatal at-fault crashes would persist despite current ADAS (SAE Level 2).
- To quantify the frequency of these unavoidable fatal crashes.
Main Methods:
- Cross-sectional study of passenger cars registered in Finland (2010-2017).
- Utilized national vehicle and driver data for mileage and registration counts.
- Analyzed fatal at-fault crashes using registry data and case-by-case investigation.
- Incorporated real-world reference technology and field tests for active safety system performance.
Main Results:
- 113 fatal at-fault crashes involving study cars were analyzed; 58 were classified as 'unavoidable'.
- Key factors in 'unavoidable' crashes included suicides (36%), active driver input (36%), and conditions exceeding system performance (17%).
- The incidence rate for 'unavoidable' fatal crashes was 0.76-0.80 per billion kilometers.
Conclusions:
- Current active safety systems face limitations due to suicides, driver actions, and environmental challenges.
- The study provides a theoretical benchmark for automated driving systems and their potential crash rates.
- Further research should consider system usability and driver acceptance for real-world applicability.
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