Adaptation of Logit Kernel to Route Choice Situation

Abstract

An adaptation of the general logit kernel (LK) model to the route choice context is presented. Recent intelligent transportation systems applications have highlighted the need for better models of the behavioral processes involved in route choice. Several route choice models have been developed recently. However, few studies concentrated on the model estimation and applications for large urban networks. How LK can be adapted to route choice situations by suitably defining the elements of the model is described. The model is estimated using a sample formed from a route choice survey combined with network variables. Preliminary estimation results are presented and discussed.