Stephen F. Smith is a research professor of robotics and director of the Intelligent Coordination and Logistics Laboratory at Carnegie Mellon University. His research focuses broadly on the theory and practice of next-generation technologies for automated planning, scheduling and coordination. He pioneered the development and use of constraint-based search and optimization models, and has successfully fielded AI-based planning and scheduling systems in a range of application domains.
In recent years, Smith has turned his attention to the growing problems of congestion and mobility faced by cities. His work on smart traffic signals, which combines concepts from artificial intelligence and traffic theory, has led to development of the Surtrac (Scalable Urban Traffic Control) adaptive traffic signal control system. Surtrac has demonstrated significant improvements in traffic flow efficiency and air quality in actual operation in the field, and currently controls a network of 50 intersections in the East End of Pittsburgh. Smith’s current work focuses on integrating adaptive signal control with emerging connected vehicle and autonomous vehicle technology, and on developing the broader transportation infrastructure that will enable mobility in smart cities of the future. He is a fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and currently serves on the AAAI Executive Council.