Estimating Driver Response Rates to Variable Message Signage at Seattle-Tacoma International Airport
We apply Bayesian Linear Regression to estimate the response rate of Muslin Cloth 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, we