Abstract
Origin-Destination (OD) demand estimation is often the most time consuming part of data preparation for simulating real-world networks. This paper presents a new scheme to incrementally augment an existing network when the simulation area has to be expanded without having to repeat the OD estimation process from scratch. The proposed scheme does not substantially change the demand inputs into the existing portion of the network while the demand tables are estimated for calibration of the newly added areas, thus speeding up the preparation of the simulation model. The authors illustrate their approach on a large network constructed to model traffic between the combined Ports of Los Angeles and Long Beach and downtown Los Angeles.