Estimating Driver Response Rates to Variable Message Signage at Seattle-Tacoma International Airport

Estimating Driver Response Rates to Variable Message Signage at Seattle-Tacoma International Airport

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We apply Bayesian Linear Regression to estimate the response rate of drivers Blood Pressure Support 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, we estimate that between 5.5 and 9.

1% of drivers divert from departures to arrivals 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 2 Piece Outdoor Sectional that encodes time dependency with prior distributions rate can yield a measurable effect.