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

José Terán¹, Loraine Navarro¹, Christian G Quintero M¹

¹Department of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 081007, Colombia.

Sensors (Basel, Switzerland)

|April 3, 2020

Summary

This study developed an intelligent driving assistant using vehicle telemetry and accident risk maps to provide real-time alerts, enhancing driver safety and comfort on the road.

Keywords:

accident risk maps driving assistant driving diagnosis driving safety

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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.