Empirical analysis of a travel-time forecasting model

Abstract

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. © 2007 The Ohio State University.