In urban areas where UAM demand is expected to be concentrated, the risks of contact between drones can frequently be at the highest level. To minimize such risks, there needs a strategic planning to redirect traffic to lower-density or less-congested airspace while not sacraficing too much extra flight costs.

This working paper proposes a new approach that keeps traffic density levels in urban airspace below the desired threshold while minimizing the total distance traveled by all aircraft. The solver will allocate a sequence of airspace volumes that each aircraft can reserve and use to avoid congested regions.

Click for more details

In the near future, urban airspace will be congested with drones due to the demand for faster delivery of food and parcels. The extent to which airspace will be most utilized is uncertain at this point, and will vary from time to time and from region to region. Identifying potential congested areas as well as reducing congestion levels will be one of the critical functions of traffic management for future air mobility.

This research in progress utilizes mobility data to generate a hypothetical demand scenario in which existing food and parcel delivery by land vehicle are partially replaced by aerial services.

Click for more details