Empirical Analysis of a Travel‐Time Forecasting Model

The purpose of this article is to analyze empirically a travel‐time forecasting model that estimates link travel times on congested road networks. In separate studies by You and Kim, a nonparametric regression model has been developed as a core forecasting algorithm to reduce computation time and increase forecasting accuracy. In this article, the sensitivity of model parameters is evaluated so that the proposed travel‐time forecasting model could be utilized in transportation information and management systems such as location‐based services and intelligent transportation systems applications.