Intelligent transportation in the prevention of accidents

Document Type : Original Article


1 Department of Computer Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran

2 Assistant Prof, Department of Electrical Engineering, Adiban Higher Education Institute, Garmsar, Iran

3 Department of Computer Engineering, Faculty of Technology and Engineering, Yasouj University, Yasouj, Iran


Information technology has played an effective role in various industrial fields, the introduction of this technology in the field of transportation systems has also been considered as a suitable solution and has led to the emergence of intelligent transportation systems. One of the critical application areas in intelligent transportation is computer vision for accident prevention. In the topic of intelligent transportation, intelligent driver monitoring systems are among the things that have been taken into consideration in the safety of cars, so that these systems try to help and warn the driver by intelligently diagnosing accident-causing conditions. By using such intelligent systems, driving accidents and incidents can be significantly reduced. One of the most important concerns in intelligent transportation to prevent significant financial and life losses due to traffic accidents is the drowsiness of drivers. Therefore, intelligent systems are used to make the control systems of transportation vehicles more intelligent by analyzing different states of the driver. For this reason, a system that can intelligently detect the driver's level of alertness or sleepiness by controlling the driver's behavior and the condition of the car is important. With 96% accuracy, 94% sensitivity and 94% accuracy, the proposed system has the best performance in detecting driver drowsiness, which is one of the characteristics of this research compared to other researches.


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