Recognition on trigger condition of autonomous emergency braking system.

Area of Science:

• Automotive Safety Engineering
• Human Factors in Transportation
• Road Safety Research

Background:

• Autonomous Emergency Braking Systems (AEBS) are increasingly common in vehicles.
• Concerns exist regarding drivers' understanding of AEBS trigger conditions (TCs).
• Proper understanding of AEBS TCs is vital for effective and safe operation.

Purpose of the Study:

• To assess driver recognition of AEBS trigger conditions (TCs).
• To identify driver characteristics influencing AEBS TC understanding.
• To explore the role of information sources in AEBS TC recognition.

Main Methods:

• A survey was distributed to 9999 monitors, with 200 participants per age/gender group.
• A multivariate analysis model was developed to analyze AEBS TC understanding.
• Multiple regression models were used to examine factors influencing recognition of AEBS malfunction and accidental activation.

Main Results:

• Gender, age, driving confidence, and prior AEBS experience significantly impact TC recognition.
• Information-seeking behavior influences understanding of AEBS malfunction conditions.
• Interest in automobiles, like self-expression through cars, affects recognition of accidental AEBS activation.

Conclusions:

• Driver characteristics and information exposure significantly affect AEBS TC recognition.
• Findings are crucial for developing targeted public relations and safety measures.
• This research supports road safety during the transitional phase of AEBS adoption.