Effect Factors Analysis of Driver's Freeway Route Deviation Based on Questionnaire Survey Data

In order to investigate the effect factors of route deviation when drives use navigation application on freeways, we conducted a route deviation questionnaire on 219 drivers. The driver cognitive patterns were summarized from the questionnaire by exploratory factor analysis, and effective explanatory variables were screened by chi-square test. Meanwhile, related social factors were screened by chi-square test and Tukey's Honestly SignificantDifference (HSD) test. Finally, a binary logistic regression model was established to reveal the influence weight of related factors on deviation from the route. The results show that navigation application design, navigation usage habits, traffic environment and education can influence drivers' use of navigation, with navigation application design having the greatest degree of influence, followed by navigation usage habits, and then traffic environment interference and education. Specifically, navigation application that is consistent with most drivers' habits can reduce the probability of route deviation; those with good driving habits have less route deviation; complex traffic environments can increase the probability of route deviation; the probability of route deviation decreases as education increases. The research contributes to the optimization of freeway navigation application.