A Travel Time Estimation Method for Planning Models Considering Signalized Intersections

Abstract

A travel time estimation method presented in this study, takes an analytical form with parameters calibrated based on microscopic simulation data. The degree of congestion is defined by ratio of volume over capacity ( v/c ), aligned with current practice. The developed model is intended to be applied in travel demand models in which future intersection delays due to signal controls are difficult to estimate. The model has three advantages compared to traditional models. First, the model considers the signal effect for a variety of traffic volume combinations without requiring explicit signal data. Second, the model estimates delay for various link length based on delay spatial distribution along a link. Third, the model shows promise of improving accuracy of link travel time compared to existing models. The mean absolute percentage errors (MAPE) of the model are comparable to or better than MAPE of uniform delay of the HCM 2000 method.