Investigation of road hypnosis using artificial intelligence techniques and regression analyses

The most preferred type of transportation in our country is road transportation. In this thesis study, road hypnosis, also known as highway hypnosis, experienced in road transportation was examined. Road hypnosis is the state of drivers using their vehicles without being aware of it. Since drivers who drive without being aware are more indifferent to the warnings around them, the possibility of an accident also increases. The purpose of this study is to examine whether road hypnosis can be detected in advance and whether it is possible to prevent drivers who are caught in road hypnosis from having an accident. In the thesis study I have prepared, data was obtained by survey method and it was directed to 50 Mardin Artuklu University employees for this purpose. From the data obtained, 22 real person data with passenger car status and consistent values were used. In my thesis study prepared based on the driving experience of 22 real people, artificial neural networks and regression models were examined. As a result of this data processed into artificial intelligence, the regression value between the state of driving unconsciously and the driver's age, sleep duration and speed was 0.98, and this high regression expression shows us that the state of driving unconsciously is related to the driver's age, speed and sleep duration and can be noticed. As a result of these findings, it is a pioneering study that will prevent any possible accidents that may arise from road hypnosis by calculating the moment of arousal in relation to the person's age, sleep duration and speed, rather than by warning the driver at a random time when he or she is caught in road hypnosis, and by warning him or her as a result of this warning.