# WorldWindFlightModel Airborne NC3 Communication System Flight Model Application in NASA WorldWind # Setup Clone this repository or download it as a .zip and extract it # Running Run FlightModel.java with program arguments [startTime, endTime, dropOutPercent] (Use [1440, 2880, 1] if unsure) startTime is the number of minutes after 0:00 UTC Feb 1st 2019 (Different if using a custom dataset) to begin loading data from data.csv (64 Bit Integer) endTime is the number of minutes after 0:00 UTC Feb 1st 2019 (Different if using a custom dataset) to stop loading data from data.csv (64 Bit Integer) dropOutPercent is the percent chance to load a flight from data.csv (Floating point 0 - 1) (1 will load all data, 0 will load no data, 0.5 will randomly select half the data points to load) # Usage Enter any integer in the text field in the range from startTime to endTime program arguments and press the "Update" button to render the data to screen at that time Select the layers you want to be visible and press the "Render" button to generate a .png image of each frame from startTime to endTime in the screenshots folder. These can be stitched into a video file. Click the "Percentage" button to run a connection reliability trial. This will pick 200 random pairs of points and output what percentage of frames have a valid shortest path between those two points, as well as a running average. Click the "Coverage" button to run a ground coverage trial, this will iterate over the entire dataset and calculate the ground coverage of the nodes. # Layers Flight Paths - Renders all paths taken by planes in the loaded dataset Path Selection - Contains two pins used for selecting the start and end positions for the shortest path layers Nodes - Renders all planes in the air at the given time Connections - Renders connections between any nodes within ~240 linear miles of eachother Ground Coverage - Renders Cylinders onto the earth around each plane depicting what area on the ground each node could reach with its communications Largest Network - Finds the largest connected component of the network and draws a fewest transmissions path from one node in that component to all other nodes in that component Largest Network Weighted - Finds the largest connected component of the network and draws a shortest distance path from one node in that component to all other nodes in that component Shortest Distance - Draws a shortest distance path from the node nearest the "Start" pin to the node nearest the "End" pin on the Path Selection Layer Fewest Transmissions - Draws a Fewest Transmissions path from the node nearest the "Start" pin to the node nearest the "End" pin on the Path Selection Layer Data Bubble - Draws a Screen Annotation with data about the current render. This includes: time and date of selected time, number of nodes and connections drawn, length of shortest paths, and coverage of largest networks # Data data.csv contains flight data from the Bureau of Transportation Statistics' On-Time Reporting Database. This application expects the first row of the csv to be a header. This application expects the following columns in this order in the csv: ORIGIN_LAT - The latitude of the airport the plane takes off from. ORIGIN_LONG - The longitude of the airport the plane takes off from. DEP_DELAY_DAY - The number of minutes past the beginning of your dataset the plane takes off (One day is 1440 minutes) DEST_LAT - The latitude of the airport the plane lands at. DEST_LONG - The longitude of the airport the plane lands at. ARR_DELAY_DAY - The number of minutes past the beginning of your dataset the plane lands (One day is 1440 minutes) If you wish to use your own dataset, the database is available for download at https://www.transtats.bts.gov/DL_SelectFields.asp Airport Longitude and Latitude data are available at https://raw.githubusercontent.com/jpatokal/openflights/master/data/airports.dat In order to create a dataset download the following columns: FlightDate, Origin, Dest, WheelsOff, WheelsOn You can use the Airport.dat from OpenFlights to lookup the Origin and Destination Longitude, Latitudes, and Time Zones. Use the time zones, the Flight Date, and the WheelsOff and WheelsOn Times to calculate the delay times. Example Flight 05/05/2018, JFK, LAX, 1247, 1556 (Using data starting from 5/01/2018) Days past 1: 4 Days converted to minutes: 4 * 1440 = 5760 JFK time zone: -5 Departure time adjusted: (1247 - (-5 * 100)) = 1747 Departure time to minutes: ((1747 / 100) * 60) + (1747 % 100) = 1067 Departure time day added: 1067 + 5760 = 6827 DEP_DELAY_DAY: 6827 LAX time zone: -8 Arrival time adjusted: (1556 - (-8 * 100)) = 2356 Arrival time to minutes: ((2356 / 100) * 60) + (2356 % 100) = 1436 Arrival time day added: 1436 + 5760 = 7196 ARR_DELAY_DAY: 7196 ORIGIN_LAT: 40.63980103 ORIGIN_LONG: -73.77890015 DEST_LAT: 33.94250107 DEST_LONG: -118.4079971