Unlike previous behavioral modeling studies on the influence of graphical route information panel (GRIP), an intergrated choice and latent variable model was used to explore the impact of GRIP on driver route choice. By properly constructing two latent variables, i.e. the driving experience and GRIP trust, the model can depict the influence of GRIP more precisely. Taking GRIP on the spot in Shanghai as the research object, the driver behavior survey data was used to quantitatively analyze the impact of the accident and congestion degree information transmitted by the GRID on route choice. The results show that the GRIP can significantly affect the probability of path selection. In addition, the driving experience has a negative relationship with the probability of leaving the expressway ahead, and the GRIP trust is positively related to the probability of leaving the expressway ahead. The influence of driving experience varies with individual attributes.