Theme Park Wait Time Predictions
AI-powered predictions using M/M/c queueing theory, school schedules from 34 districts, and real-time park data. Plan the perfect visit.
How Our Predictions Work
Queueing Theory
M/M/c models compute expected wait times from arrival rates, service rates, and ride vehicle counts — the same math used in operations research.
School Calendar Analysis
We track 34 school districts across 6 states, weighted by enrollment and distance from Anaheim. School breaks are the #1 crowd predictor.
10 Engineered Features
From parade rebound effects to Lightning Lane saturation and refurbishment redistribution — our model captures what pure math misses.
Everything You Need to Plan
Live Dashboard
Real-time wait times for every ride, updated every 60 seconds from Queue-Times.
Ride Predictions
Hourly wait time forecasts with M/M/c base, confidence intervals, and utilization metrics.
Crowd Calendar
Color-coded crowd levels for every day of the year. Find the quietest days to visit.
Ride Comparison
Compare up to 4 rides side by side. See which has the lowest wait at each hour.
Trip Planner
Select your must-ride attractions and get an optimized itinerary with minimal total wait.
School Overlay
See how school breaks from CA, AZ, NV, UT, and PNW impact daily crowd levels.
The Math Behind the Magic
Each ride is modeled as an M/M/c queue — a system with Poisson arrivals (rate λ), exponential service times (rate μ per server), and c parallel servers (ride vehicles).
ρ = λ / (c × μ)
Lq = P0 × (cρ)c × ρ / (c! × (1-ρ)2)
Wq = Lq / λ
The pure queueing theory prediction is then corrected by a residual model trained on 10 engineered features — school schedules, event timing, Lightning Lane saturation, and more.