Pre-trip traffic information is one of the crucial components that affect traveler's mode choice behaviors on intercity transportation corridors. Besides traveler's socioeconomic characteristics and transportation system's levels of service, there exists a specific relationship between pre-trip traffic information and user's internal decision process that jointly affect intercity traveler's mode choice behaviors. The present research employed latent variable models to investigate the effects and/or value of pre-trip traffic information on intercity users' mode choice behaviors. The empirical results indicated that certain latent variables inherent in travelers did influence users' intention in selecting a specific transportation mode. It was also found that by incorporating the significant latent variables into a discrete choice model to estimate intercity transportation systems' market shares, it is able to slightly improve model's performance.