Vertical take-off and landing (VTOL) aircraft noise signature mitigation
Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.
1 . A computer-implemented method comprising:
accessing data indicative of noise signatures of respective aircraft of a fleet of aircraft and noise data indicative of a noise level within an environment, wherein:
the noise signatures are indicative of a predicted noise impact of the respective aircraft along respective routes of a plurality of routes, and
the noise data is obtained via one or more sensors associated with the respective routes of the plurality of routes;
based on the noise signatures of respective aircraft of the fleet of aircraft and the noise data, computing a changed route for a first aircraft; and
transmitting, over a network to a computing device associated with the first aircraft, a message with instructions to travel according to the changed route.
2 . The computer-implemented method of claim 1 , wherein the computing the changed route for the first aircraft comprises computing the changed route for the first aircraft based on: (i) a noise signature of a second aircraft within the fleet of aircraft and (ii) the noise data.
3 . The computer-implemented method of claim 1 , wherein the computing the changed route for the first aircraft comprises processing the noise data to the noise signatures to detect a change.
4 . The computer-implemented method of claim 1 , wherein the computing the changed route for the first aircraft comprises modifying a route assignment of the first aircraft prior to take-off.
5 . The computer-implemented method of claim 1 , wherein the computing the changed route for the first aircraft comprises computing a flight delay for the first aircraft.
6 . The computer-implemented method of claim 1 , wherein the noise data is obtained at one or more vertiport locations along the respective routes of the plurality of routes.
7 . The computer-implemented method of claim 6 , wherein the noise level within the environment is the noise level at the one or more vertiport locations.
8 . The computer-implemented method of claim 1 , further comprising:
based on the data indicative of the noise signatures and the noise data, computing a change in a noise signature of the first aircraft; and
transmitting a message to the first aircraft with instructions to modify operations of the first aircraft based on the change in the noise signature of the first aircraft.
9 . The computer-implemented method of claim 1 , wherein the noise data comprises ambient noise levels in the environment.
10 . The computer-implemented method of claim 1 , wherein the computing the changed route comprises modifying in-flight, a current route for the first aircraft.
11 . A computing system comprising:
one or more processors; and
one or more non-transitory computer-readable media storing instructions that are executable by the one or more processors to cause the one or more processors to perform operations comprising:
accessing data indicative of noise signatures of respective aircraft of a fleet of aircraft and noise data indicative of a noise level within an environment, wherein:
the noise signatures are indicative of a predicted noise impact of the respective aircraft along respective routes of a plurality of routes, and
the noise data is obtained via one or more sensors associated with the respective routes of the plurality of routes;
based on the noise signatures of respective aircraft of the fleet of aircraft and the noise data, computing a changed route for a first aircraft; and
transmitting, over a network to a computing device associated with the first aircraft, a message with instructions to travel according to the changed route.
12 . The computing system of claim 11 , wherein the computing the changed route for the first aircraft comprises computing the changed route for the first aircraft based on: (i) a noise signature of a second aircraft within the fleet of aircraft and (ii) the noise data.
13 . The computing system of claim 11 , wherein the operations computing the changed route for the first aircraft comprises processing the noise data to the noise signatures to detect a change.
14 . The computing system of claim 11 , wherein the operations computing the changed route for the first aircraft comprises modifying a route assignment of the first aircraft prior to take-off.
15 . The computing system of claim 11 , wherein the operations computing the changed route for the first aircraft comprises computing a flight delay for the first aircraft.
16 . The computing system of claim 11 , wherein the noise data is obtained at one or more vertiport locations along the respective routes of the plurality of routes.
17 . The computing system of claim 16 , within the environment is the noise level at the one or more vertiport locations.
18 . The computing system of claim 11 , wherein the operations further comprise:
based on the data indicative of the noise signatures and the noise data, computing a change in a noise signature of the first aircraft; and
transmitting a message to the first aircraft with instructions to modify operations of the first aircraft based on the change in the noise signature of the first aircraft.
19 . The computing system of claim 11 , wherein the noise data comprises ambient noise levels in the environment.
20 . One or more non-transitory computer-readable media storing instructions that are executable by one or more processors to cause the one or more processors to perform operations, the operations comprising:
accessing data indicative of noise signatures of respective aircraft of a fleet of aircraft and noise data indicative of a noise level within an environment, wherein:
the noise signatures are indicative of a predicted noise impact of the respective aircraft along respective routes of a plurality of routes, and
the noise data is obtained via one or more sensors associated with the respective routes of the plurality of routes;
based on the noise signatures of respective aircraft of the fleet of aircraft and the noise data, computing a changed route for a first aircraft; and
transmitting, over a network to a computing device associated with the first aircraft, a message with instructions to travel according to the changed route.