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.
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.