Intelligent Transportation in The Prevention of Accidents

Information technology has significantly influenced numerous industrial sectors, and its integration into transportation systems has emerged as a promising solution, giving rise to intelligent transportation systems (ITS). Among the key application areas of ITS is the use of computer vision for accident prevention. Specifically, intelligent driver monitoring systems play a crucial role in enhancing vehicle safety by proactively identifying and addressing conditions that may lead to accidents. These systems aim to assist and alert drivers by intelligently recognizing potentially dangerous situations, thereby contributing to a substantial reduction in traffic accidents and related incidents. A major concern within intelligent transportation is driver drowsiness, a critical factor in preventing severe financial and human losses caused by traffic accidents. To address this, intelligent systems are employed to enhance vehicle control by continuously analyzing the driver’s physical state and behavioral patterns. Consequently, the development of a system capable of accurately assessing a driver’s alertness or fatigue level based on both driver behavior and vehicle status holds great importance. Notably, the proposed system presented in this research demonstrates superior performance compared to existing approaches, achieving ۹۶% accuracy, ۹۴% sensitivity, and ۹۴% specificity in detecting driver drowsiness.

کلیدواژه ها:

Intelligent transportation ، computer vision ، Accidents ، Smart city