This directory contains models for AAR distribution prediction, and is intended as a supplement to the paper, Probabilistic Airport Acceptance Rate Prediction by Jonathan Cox and Mykel J. Kochenderfer, presented at the 2016 AIAA Modeling and Simulation Technologies Conference.
Here you will find implementations of the following:
- The Airport Acceptance Rate Distribution Prediction Model (ADPM)
- The Weather Translation Model for Ground Delay Program Planning (WTMG)
- The Baseline model and Models A-D discussed in the above paper
Also included are the trained model parameters for ADPM at San Francisco International and Newark Liberty International airports.
Returns an array whose (i,j,k,m) entry is the probability of AAR m at time t+j given AAR k at time t+j-1 and weather forecast i at time t+j, where i=1 is IMC and i=2 is VMC.
$ cd model_parameters
$ julia
julia> include("readParams.jl")
julia> airport = :SFO
julia> model = readParams(airport)
prediction_models/
PredictionModels.jl Baseline model, models A-D, ADPM
models.jl
weather.jl
normalize.jl
wtmg/
WTMG.jl Weather Translation Model for GDP planning
randomForests.jl
rfr.py
evaluation/
CrossValidation.jl cross validation module
scoring.jl scoring functions (RMSE, MBS, and RWSE)
model_parameters/
readParams.jl read the model parameters into a Julia array
adpm_params_sfo ADPM model parameters at SFO
adpm_params_ewr ADPM model parameters at EWR