Air traffic and transportation planning and management

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We develop mathematical models and algorithmic solutions for challenges in air traffic management and air transportation. 

Air traffic is steadily increasing, highlighting the task of estimating airspace capacity and using it in the most beneficial way. The major impact on the capacity comes from uncertainties associated with weather and the stochastic nature of traffic demand.

We utilize optimization, simulation, computational geometry and other quantitative methods to solve resource optimization problems within air traffic planning. This include planning of both traditional aircraft and unmanned aerial vehicles, as well as crew and ground based resources, including airport services and ground transportation.

Current challenges include for example scheduling, flow planning, economic control strategies and air space design. A current example is the design, analysis and implementation of efficient algorithms for planning safe weather-avoiding jet routes taking into account the often conflicting objectives of many industry stakeholders.

Our algorithmic solutions are also applicable in various other domains of geometric motion planning, ranging from robotics to surveillance planning to unmanned aerial vehicle management to crowd evacuation to information propagation through SmartCity networks.

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