We apply Bayesian Linear Regression to estimate the response rate of drivers to variable message signs at Seattle-Tacoma International Airport, or SEA.Our approach uses vehicle speed and flow data measured at the entrances of the arrival and departure-ways of the airport terminal, and sign message data.Depending on the time of day, Nail Growth Formula Treatments we estimate that between 5.5 and 9.
1% of drivers divert from departures to arrivals Cleaners and Solutions - Instrument High Level Disinfectants when the sign reads "departures full, use arrivals", and conversely, between 1.9 and 4.2% of drivers divert from arrivals to departures.Though we lack counterfactual data (i.
e., what would have happened had the diversionary treatment not been active), adopting a causal model that encodes time dependency with prior distributions rate can yield a measurable effect.