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 Significant Difference (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.


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    Title :

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


    Additional title:

    Smart Innovation, Systems and Technologies


    Contributors:
    Bie, Yiming (editor) / Qu, Bob X. (editor) / Howlett, Robert J. (editor) / Jain, Lakhmi C. (editor) / Zhou, Nanjie (author) / Wang, Huapeng (author) / Wang, Wenyi (author) / Qi, Weiwei (author)

    Conference:

    Proceedings of KES-STS International Symposium ; 2022 ; Rhodes, Greece June 20, 2022 - June 22, 2022



    Publication date :

    2022-05-15


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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