Abstract
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 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.
Highlights
Study of drivers’ route choice is always the hotspot issue of behavior research
We investigate the travelers’ route switching behavior under different traffic conditions
We need to transfer the category result of each sample obtained by Latent Class Model (LCM) in Table 6 to y that is needed in the Ordinal Logistic Model
Summary
Study of drivers’ route choice is always the hotspot issue of behavior research. Drivers are classified as different groups, and route switching behavior of each group is analyzed combing. Some researchers analyze the factors influencing route switching behavior, such as the guidance information. Driving style, travel time, credibility of VMS and accuracy of guidance information are major factors influencing drivers’ route switching propensity [22]. Ben adopted Logit model to analyze the influence of descriptive information, prescriptive information and post-choice feedback information on drivers’ route switching behavior, and results indicate that, prescriptive information is the critical factor [23]. At the end of the section, characteristic of drivers’ route choice behavior is analyzed
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