Research on the effectiveness of a intersection risk warning system based on driving simulation experiment

Area of Science:

• Traffic Safety Engineering
• Human-Computer Interaction
• Transportation Psychology

Background:

• Uncontrolled intersections pose significant traffic safety risks.
• Existing warning systems may lack real-time adaptability.
• Driver behavior and psychological responses are critical in mitigating intersection conflicts.

Purpose of the Study:

• To propose and evaluate a real-time traffic conflict risk warning system (RTCRWS) for uncontrolled intersections.
• To assess the system's impact on driving behavior and driver's physiological and psychological states.
• To compare the effectiveness of different warning sign types and demographic groups.

Main Methods:

• A driving simulation experiment was conducted with 45 participants at 13 virtual intersections.
• Data analysis included driving behavior, physiological/psychological reactions, and TOPSIS evaluation of RTCRWS.
• Virtual environment construction included static road, traffic, and dynamic flow.

Main Results:

• RTCRWS effectively controlled vehicle speed and reduced driver tension.
• Specific early warning signs showed varying degrees of effectiveness.
• The system demonstrated a more pronounced warning effect on elderly and female drivers.

Conclusions:

• RTCRWS is a viable solution for enhancing traffic safety at uncontrolled intersections.
• The system's effectiveness is influenced by warning sign design and driver demographics.
• Further research can optimize RTCRWS for diverse driver populations and intersection types.