The application of automation to enable truck platooning has the potential to improve fuel efficiency, but raises the need to further study impacts including the potential interactions with pavement deterioration rates. Researchers in Illinois proposed a network-design model to optimize the placement of dedicated truck-platoon lanes and user fees in a highway network, and assessed operational strategies such as configuration of truck platoons within these lanes (e.g., lateral displacements and vehicle separations). The study utilized multiple link-cost functions, mathematical models, and dynamic programming to optimize truck platoon configurations and the highway pavement rehabilitation schedule.