Analysis of stated route diversion intentions under advanced traveler information systems using latent variable modeling

One of the benefits of advanced traveler information systems (ATISs) is their ability to divert travelers to alternative routes during traffic incidents to alleviate congestion. ATISs may effectively convince travelers to divert to alternative routes by providing information that is considered useful. Therefore, it is important to identify the factors that explain drivers' route diversion behaviors to properly assist in the design and implementation of ATISs. An application of latent variable models to determine the factors that affect drivers' stated intentions to divert from their usual routes when faced with traffic congestion is described. Two latent variables were identified: drivers' attitudes toward route diversion and their perceptions of the reliability of information provided by radio traffic reports (RTRs) or changeable message signs (CMSs). These two latent variables were determined to be significant explanatory variables of route diversion intentions. Some drivers' travel and socioeconomic characteristics and the type of information provided by RTRs and CMSs were also found to be important explanatory variables.