Drivers' route switching behavior shows obvious difference when they face various traffic conditions. The article studies the drivers' route switching behavior based on group classification. Questionnaire combining SP survey and RP survey is carried out to collect the drivers' route choice behavior under the influence of individual attributes, daily travel characteristic and traffic conditions. Latent Class Model (LCM) is used to analyze the behavior characteristic. According to the goodness of

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... models, drivers are divided into three categories. Drivers of sensitive pattern will switch route easily which is represented by young people with shorter driver-age. In contrast, drivers of unresponsive pattern will not switch routes easily and the pattern is represented by elder people with longer driver-age. Based on the drivers' classification results, ordinal logistic model is established. According to the odds ratio of each variable, we find that, age, driver-age, nature of drivers, and travel frequency all affect drivers' route switching behavior. INDEX TERMS Travel behavior, route choice, group classification, latent class model, ordinal logistic model. II. LITERATURE REVIEW A. ROUTE SWITCHING BEHAVIOR STUDY Disaggregate model is usually applied to study the drivers' behavior, including Logit model, Nested Logit model, Cross Nested Logit model, Mixed Multinomial Logit model, Latent Class Logit model [3]. Disaggregate model can quantitatively describe the decision results and analyze factors' influence, 93514 This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ VOLUME 8, 2020