| Summary |
Chei-Hsiu Chung, 2007,06
Institute of Traffic and Transportation National Chiao Tung University
The degree of driver’s mental workload always has influence on driver’s behavior. When driver encounters sudden circumstances, with higher mental workload represents that his character is more preservative so that he is not willing to take a risk. On the contrary, with lower mental workload represents that he acts steadily. This paper gathers the relative factors affecting driver’s mental workload corresponds with dynamic data to construct multiple regression model.
Afterwards, this paper corrects the past model of quantum optical flow with driver’s mental workload and increases the targets with front cars and adjacent cars. By analyzing dynamic data we gathered we can observe driver’s behavior. According to the outcome , we can see that heart rate variability raise with increasing driver’s mental workload and driver’s mental workload increases with increasing average speed. Oppositely speaking, driver’s mental workload diminishes with increasing the driver’s speed relative to the target vehicle.
With the model and the real data, we can predict dynamic driver’s mental workload. And i hope that maybe somebody can take advantage of this and make contributions to traffic safety in the future. |
