Facing the air traffic growth and the challenges in balancing air traffic between geographical sectors, the air traffic control paradigm is shifting from local sector-based solutions to cross-border flow-based approaches. Such flow-centric approaches can be promising to overcome the scalability limits of geographical sectors and optimize the traffic at a regional level. Under this paradigm, this project proposes to develop a dynamic air traffic flow configuration method to assess, predict, manage, and optimize the evolving air traffic flows to enable more efficient flow-centric ATFCM and airspace management.