Abstract
A microsimulation model for studying the effect of information on commuters' behavior during morning peak congestion is presented, and the impact of the model is examined in relation to overall network performance. The model is fed by survey data of perceived behavior in 2 cities in 2 different countries: Israel and Sweden. Parameters such as home-to-work trips, constraints with respect to the arrival time at the destination, exposure to various levels of information, flexibility of the mode of transport, and pre-trip and en-route information are considered by the model.