Driving Difficulty and ADAS Adoption: An Analysis of RMSE and Driver Behavior

From Figure 1, it can be observed that the training set's Root Mean Square Error (RMSE) is 0.47197 in (a), while the testing set's RMSE is 0.51884 in (b). These results indicate that the mean squared errors are relatively small and close to the expected values, suggesting a good predictive performance of the model. This implies that driving difficulty has a significant influence on drivers' willingness to use ADAS. Based on the aforementioned result analysis, except for a few extreme cases where drivers with high driving difficulty scores resist using ADAS or those with low driving difficulty scores tend to adopt ADAS, generally, higher levels of driving difficulty tend to be associated with a greater inclination to use ADAS.