Intelligent Driving Assistant Based on Road Accident Risk Map Analysis and Vehicle Telemetry

Area of Science:

• Intelligent Systems
• Transportation Engineering
• Road Safety

Background:

• Driver assistance systems have improved road travel comfort and safety.
• There is a need for advanced systems to proactively prevent traffic accidents.

Purpose of the Study:

• To develop an intelligent driving assistant.
• To integrate vehicle telemetry and road accident risk map analysis.
• To alert drivers of potential accident risks.

Main Methods:

• Development of an intelligent driving assistant.
• Utilized vehicle telemetry data.
• Incorporated road accident risk map analysis.
• Employed fuzzy reasoning for the intelligent agent.

Main Results:

• The intelligent assistant provided real-time audio-visual alerts.
• Alerts were based on telemetry and risk map data.
• The fuzzy reasoning agent supported drivers effectively.
• The system adhered to safe driving practices and regulations.

Conclusions:

• The developed intelligent driving assistant enhances driver performance.
• The system offers significant advantages in improving the driving task.
• Real-world testing confirmed the assistant's effectiveness in reducing accident risks.