In order to reveal the effect mechanism of travel information service level for drivers travel time prediction error, defined the concept of travel information service level and travel time prediction error. Utilize the conceptual model, described the various influence factors of travel information service level and interaction relations. Discussed the relationship between the drivers travel information receiving preference habits and the road selection, analyzed the effect of the influence factors on drivers' road selection and travel time prediction, based on Bayesian methods analyzed the effect of different travel information service level for travel time prediction error. The calculation shows that the higher travel information service level can improve the drivers travel time prediction, increase the travel information service level play an important role for the efficiency of drivers travel, and provide theoretical support for planning and construction of travel information system on the future.
Software Replacement Time Prediction Technique Using the Service Level Measurement and Replacement Point Assessment
