Unmanned Aircraft Systems Traffic Management (UTM)
Urban Airspace Availability Assessment
One of the key challenges in enabling large-scale UAS operations at low altitude lies in the limited airspace of densely built-up urban environment. Unlike the high-altitude controlled airspace, the geospatial complexity arising from existing static obstacles such as buildings and terrain poses a new challenge in the UAS traffic flow management. A more adaptive and intelligent approach is necessary to identify airspace that is not only free of obstacles but also usable or operable within an acceptable level of risk. We apply two types of the geofencing method to identify usable airspace, as a first step to assess the urban airspace capacity.
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The following tool enables you to explore the airspace availability in three case study areas - Gangnam, Manhattan, and San Francisco. For details, please refer to our publication.
[Cho, J., & Yoon, Y. (2018). How to assess the capacity of urban airspace: A topological approach using keep-in and keep-out geofence. Transportation Research Part C: Emerging Technologies, 92, 137-149.]
One of the key challenges in enabling large-scale UAS operations at low altitude lies in the limited airspace of densely built-up urban environment. Unlike the high-altitude controlled airspace, the geospatial complexity arising from existing static obstacles such as buildings and terrain poses a new challenge in the UAS traffic flow management. A more adaptive and intelligent approach is necessary to identify airspace that is not only free of obstacles but also usable or operable within an acceptable level of risk. We apply two types of the geofencing method to identify usable airspace, as a first step to assess the urban airspace capacity.
f
The following tool enables you to explore the airspace availability in three case study areas - Gangnam, Manhattan, and San Francisco. For details, please refer to our publication.
[Cho, J., & Yoon, Y. (2018). How to assess the capacity of urban airspace: A topological approach using keep-in and keep-out geofence. Transportation Research Part C: Emerging Technologies, 92, 137-149.]
SF : https://datasf.org/opendata/
NY : https://opendata.cityofnewyork.us/
Seoul : http://www.spacen.or.kr/main.do
