Abstract:This paper describes the development and application of an activity-based microsimulation model system capable of simulating changes in individual travel patterns in response to a transportation control measure. A unique activity-based time use survey was conducted to obtain information on people's activity and travel patterns and their likely behavioral adjustment in response to various transportation control measures. This paper describes the survey and the use of the ensuing data set in estimating various components of the simulator, called AMOS. The first application in the Washington DC area demonstrated the capabilities of AMOS as a transportation policy analysis tool. Sample results from the Washington DC demonstration are presented.