Driving safety evaluation for hazardous materials vehicle drivers based on visual characteristics.

Area of Science:

• Road safety
• Human factors in transportation
• Driver behavior analysis

Background:

• Hazardous materials transport requires stringent safety measures.
• Driver visual characteristics are crucial for assessing driving safety.
• Personality traits influence driver behavior and risk-taking.

Purpose of the Study:

• To develop a driving safety evaluation model for hazardous materials vehicle drivers.
• To integrate visual characteristics with personality traits for enhanced safety assessment.
• To provide a reliable method for personalized driver safety early warning systems.

Main Methods:

• Driving simulation experiments with 23 hazardous materials drivers under various distraction conditions.
• K-means clustering based on the Big Five personality questionnaire to classify drivers.
• Development of an evaluation model using the Analytic Hierarchy Process (AHP)-Entropy Weight Method with fuzzy comprehensive evaluation.

Main Results:

• Distracted driving significantly altered visual characteristics like fixation duration, saccade duration, blink frequency, and pupil diameter.
• Pupil diameter was a universal indicator of distraction across all personality types.
• Visual characteristic responses to distraction varied by personality type, with model evaluations aligning with driver traits.

Conclusions:

• The study successfully integrated personality traits and visual parameters for hazardous materials driver safety evaluation.
• The proposed AHP-Entropy Weight fuzzy comprehensive evaluation model offers a scientific approach to safety management.
• The model supports personalized driver safety early warning systems in road transportation.