We are observing an increasing trend to incorporate the latest available GIS-based road network information in travel demand modeling by State and MPO agencies in recent years. The increasing shift to use GIS-based highway network information in the assignment process can be mainly attributed to the huge time and cost savings by the MPOs in trying to qualitatively collect, compile and update the data from multiple sources. It is also important to note that since the GIS-based network information is developed primarily for route-guidance purposes, it includes detailed information such as speed-profiles, heavy vehicle restrictions, turn prohibitions, HOV/HOT lane availability by time-of-day, etc. Lately, data vendors such as NAVTEQ , TomTom and OpenStreetMap that collect and maintain up-to-date network information, are proving to be an accurate and reliable source of such data. The objective of this study is to document the usefulness of these available data sources to build assignable highway networks for use in travel demand models. Moreover, the required tools to effectively convert and consolidate the data into an optimized format that can be used in travel demand models will also be developed. Lastly, the adaptability of this data for modeling at different scales (Macroscopic, Mesoscopic and Microscopic) will be explored.