Dynamic Analysis of Lane Closure Strategies

Abstract

A dynamic simulation model is extended to represent traffic system disruptions in the form of lane closures. The model has two components: a macroparticle traffic simulator, and a user decisions component which comprises behavioral mechanisms governing the daily departure time decisions of commuters. The model is applied to the analysis of six alternative lane closure strategies associated with planned repair activities. Examples of model results are described, highlighting the tradeoffs between the performance of the system during the perturbation period and the final equilibrium state, as well as the trade‐off between the schedule delay and the travel time experienced by system users during those periods.