A Travel Time Estimation for Planning Models Considering Signalized Intersections

The ITE 2010 Daniel B. Fambro Student Paper presents a travel time estimation method that takes an analytical form, with parameters calibrated based on microscopic simulation data. The developed model is intended to be applied to 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 lengths based on the delay spatial distribution along a link. Third, the model shows promise in improving the accuracy of travel time estimations as compared to the existing models.