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IoT On-Board System for Driving Style Assessment.
Bartosz Jachimczyk1,2, Damian Dziak3, Jacek Czapla4
1BetterSolutions S.A. Al. Grunwaldzka 103, 80-244 Gdansk, Poland. bartosz.jachimczyk@bettersolutions.pl.
Sensors (Basel, Switzerland)
|April 21, 2018
Summary
This study introduces an objective driving style assessment system using vehicle data. It quantifies safety, economy, and comfort, enabling drivers to improve their behavior.
Area of Science:
- Automotive Engineering
- Human-Computer Interaction
- Transportation Safety
Background:
- Subjective expert assessments limit objective skill evaluation in critical professions.
- Driving style assessment traditionally relies on human judgment, introducing subjectivity.
- Need for objective, data-driven methods to evaluate driving skills.
Purpose of the Study:
- To develop an objective driving style assessment method.
- To quantify driving style based on measurable vehicle parameters.
- To provide a tool for improving driver behavior and safety.
Main Methods:
- Utilized an embedded system based on the Internet of Things (IoT) concept.
- Acquired data from the On-Board Diagnostics II (OBD-II) port, accelerometer, and GPS.
- Developed an assessment model based on eight indicators (speed, acceleration, jerk, engine RPM, time) to evaluate safety, economy, and comfort.
Main Results:
- Successfully implemented and validated an objective driving style assessment system.
- Demonstrated the system's capability to quantitatively differentiate driving styles.
- Spider diagram visualization effectively presented multidimensional assessment results.
Conclusions:
- The proposed system offers an objective and comprehensive method for driving style assessment.
- The system can quantitatively distinguish driving styles and aid in behavior improvement.
- The IoT-based approach and spider diagram visualization enhance assessment intelligibility and utility.
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