An Intelligent Driver Tracking and Driving Analysis Reporting System

Authors : Ferhat Akalan, Betül Mumcu, Erdinç Şahin

Pages : 319-340

Doi:10.31466/kfbd.1548673

View : 419 | Download : 155

Publication Date : 2025-03-15

Article Type : Research Paper

Abstract :As the number of vehicles on the roads increases day by day, the number of traffic accidents also increases. According to Turkish Statistical Institute (TÜİK) 2023 data, 88.9% of these accidents are caused by driver errors. These mistakes of drivers usually occur because they are careless, tired, sleepy, or busy with a different task while driving. At this point, the need for the use of smart systems in vehicles has begun. Intelligent vehicle systems have been developed to warn drivers during these behaviors. These systems aim to provide the driver with a safer driving experience. Looking at the literature, studies have been done on this subject and embedded systems have been developed. The general purpose of these studies is to ensure safe driving by warning the driver while driving. The proposed intelligent driver tracking and driving analysis reporting system in this study is designed mostly for companies in the freight and passenger transportation sector. In order to prevent traffic accidents caused by driver error, the aim is to conduct a driving analysis of commercial vehicle drivers and report them to the transportation company, thus minimizing traffic accidents by choosing more careful drivers or ensuring that the drivers are more careful. The proposed system consists of two cameras placed inside the vehicle, facing with the driver and traffic, recording video throughout the drive. The video recording is uploaded to the driving analysis reporting software, two separate videos are passed through two separate models and the results are displayed in a meaningful format. While carrying out the project, two different models are created. While the first of these models detects the driver\\\'s behavior such as sleepiness, making a phone call, or smoking, the second analyzes whether the vehicle complies with the speed limits and traffic lights. These analyses are presented in the form of reports with a user-friendly interface. In this way, it is aimed to ensure a safer traffic flow by preventing accidents caused by drivers.
Keywords : Sürücü Davranış Takibi, Makine Öğrenmesi, Sürüş Analizi