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- Identifying high‑probability flight patterns through data review

Start by extracting all radar sweeps from the last 12 months, then filter records where the track deviation is under 0.5° and the speed variance stays below 2 knots. In the resulting set, 68 % of flights follow one of three recurring routes that match the airport's primary airways.

Next, compute the frequency index for each route: count the number of occurrences, divide by total flights, and rank the routes. The top two routes show a frequency index of 0.42 and 0.31 respectively, indicating a combined 73 % likelihood that a new flight will choose one of them.

for each route: count the number of occurrences, divide by total flights, and rank the routes. The top two routes show a frequency index of 0.42 and 0.31 respectively, indicating a combined 73 % likelihood that a new flight will choose one of them.">

Finally, overlay weather‑impact data for the same period. When the wind component exceeds 15 kt from the west, the frequency index for the second route drops to 0.18, while the first route rises to 0.55. Use this adjustment to predict which corridor will dominate under similar conditions tomorrow.