Abstract
The assessment of skills is essential and desirable in areas such as medicine, security, and other professions where mental, physical, and manual skills are crucial. However, often such assessments are performed by people called “experts” who may be subjective and are able to consider a limited number of factors and indicators. This article addresses the problem of the objective assessment of driving style independent of circumstances. The proposed objective assessment of driving style is based on eight indicators, which are associated with the vehicle’s speed, acceleration, jerk, engine rotational speed and driving time. These indicators are used to estimate three driving style criteria: safety, economy, and comfort. The presented solution is based on the embedded system designed according to the Internet of Things concept. The useful data are acquired from the car diagnostic port—OBD-II—and from an additional accelerometer sensor and GPS module. The proposed driving skills assessment method has been implemented and experimentally validated on a group of drivers. The obtained results prove the system’s ability to quantitatively distinguish different driving styles. The system was verified on long-route tests for analysis and could then improve the driver’s behavior behind the wheel. Moreover, the spider diagram approach that was used established a convenient visualization platform for multidimensional comparison of the result and comprehensive assessment in an intelligible manner.
Highlights
Modern technologies pave the way to the objective assessment of professional skills
To address the problem of the objective assessment of driving style, we propose the vehicle monitoring system based on the Internet of Things (IoT) approach, using the car’s diagnostic port—OBD-II—and the designed and developed additional acquisition module using an accelerometer sensor and GPS
The basic indicators of speed, engine rotational speed and engine uptime were obtained through an OBD-II interface, while the indicators of accelerations in x, y- and z-axes and car’s location were collected by the acceleration and GPS expansion modules, respectively
Summary
Modern technologies pave the way to the objective assessment of professional skills. The simulation and real-time systems supporting such assessment can be found in evaluation of medical and security staff as well as many other professions where mental, physical, and manual skills are crucial. Transportation companies search for a solution allowing objective driver skill assessment based on measures of the transportation cost including fuel consumption and fleet maintenance, driving safety, and delivery time. These factors are ambiguous and may be affected by external circumstances such as road conditions, traffic accidents and even a vehicle’s technical condition, which are independent of the driver. Emerging technologies and methods, especially in remote sensing and Internet of Things (IoT), obtain information about driving parameters as well as external conditions to evaluate the person’s driving style Such assessment can be used to grant professional drivers, who preserve passenger’s convenience or a cargo’s safety and consider economy along with eco-driving tips.
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