A knowledge-based system designed to help users find parking options on the campus of Texas A&M University. Users can use the provided web interface to find the optimal parking option on campus for a particular building. The system can process complex regulations for parking based on date, time, and type of permit the user holds. It can also take into account user's preferences. The system can offer parking option with the lowest walking time to the destination, the lot most closely matching the user preference, and the lot the user selects most often according to their history.