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NAS-wide network modeling software for traffic flow management. Alex Bayen Dengfeng Sun, Charles Robelin, Jessica Pannequin, Issam Strub Alaa Hilal, Elie ElKhoury, Ibtissam Ezzedine, Sam Yang, Abdul-Hamid Ghandour. University of California, Berkeley Department of Civil Engineering
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NAS-wide network modeling software for traffic flow management Alex Bayen Dengfeng Sun, Charles Robelin, Jessica Pannequin, Issam Strub Alaa Hilal, Elie ElKhoury, Ibtissam Ezzedine, Sam Yang, Abdul-Hamid Ghandour University of California, Berkeley Department of Civil Engineering Systems Engineering October 5th, 2006 Workshop on High Confidence Software for Critical Aviation Systems, Alexandria, VA
Modeling software for NAS-wide network analysis Automated network model building Graph identification techniques (pattern recognition, clustering algorithms) Aggregate flow modeling (partial differential equations, numerical analysis) Mathematical network analysis Delay multiplier analysis (Mixed Integer Linear Programming, MILP) Network sensitivity analysis (adjoint-based optimization) Automated bottleneck identification (multicommodity flows, combinatorial opt.) Decentralized ARTCC/sector optimization (dual decomposition) Control synthesis for NGATS Dynamic sectorization [collaboration with ENAC/Eurocontrol] Reservoir management Airborne delay mitigation Delay multiplier mitigation
Software specificity: abstractions • Data processing capabilities • 1.5 terabytes / year of data (offline) • I/O: 500 Megs/day (online) • CNA • Infrastructure data • ETMS/ASDI data structures • CNA oracle / database • ARTCC / FAA infrastructure data • NASA, FAA • C/C++ Software interfaces • NASA FACET (ATM) • CPLEX (combinatorial optimization) • Matlab (visualization) • Metron Aviation
FACET CPLEX MATLAB Software architecture and use • Analysis • Control synthesis • Simulation • Validation • Model assessments Infrastructure data weather data, winds OD data, historical data Function specific software ATM analysis software