OptimStation is an optimization routine that was developed to find optimal locations for new traffic count stations.
The main idea is finding locations in a city that minimize error in estimated Annual Average Daily Traffic. This model suggests taking advantage of KCOUNT routine and Genetic Algorithms to improve the design of a traffic network. The optimization problem consists in minimizing an objective function defined here as the average prediction error over all roads with monitored traffic counts.
