Traffic light assistant simulation: Foggy weather

Abstract

In recent years, a variety of new assisted driving systems have been introduced to the automobile market. Advanced Driving Assistance System (ADAS) is becoming a more popular feature in car systems today. It is worth noting that ADAS process best in clear weathers where cameras and sensors are able to detect objects in order to warn the driver in time. However, the weather is not always ADAS friendly. Therefore, this study tested intersection assistance influence on driving behavior in foggy weather. A driving simulator experiment was conducted by using an intersection assistance to send warnings to the driver when approaching an intersection. Various type of warning systems such as audio warning, video displays, and hybrid warning (combination of both audio and visual warning) were examined and compared to no warning system. As a result, we were able to conclude if there was a significant difference in the driver’s behavior due to a certain warning type. Compared to no warnings at all, the experiment concluded that a hybrid warning system is the most effective in terms of awareness and speed approaching the intersection followed by audio warnings and then by video displays. For further calculations of our experiment we were able to calculate how much more distance each driver had to stop due to each warning system.