Abstract
This study estimates light and heavy truck origin-destination (OD) matrices based on the commodity flows in the Tokyo metropolitan area. There are three major concepts in this study. First, the truck OD is estimated using the commodity approach because it can reveal the important characteristics of the shipments. Second, the ability to estimate both loaded and empty trips is the main contribution of the model. Finally, loaded trips are mainly concentrated and modeled with trip chains behavior and shipment characteristics such as average payload, adjacent zones, and others that provide the most attractive zones traveled by trucks. The performance of the model is demonstrated using the relative mean absolute error between the estimated and observed truck OD matrices. The numerical analysis based on the light product of the food industry demonstrates that the proposed concept with trip chain behavior always outperforms the model without trip chain behavior.
