Publication
Traffic assignment models continue to play a critical role in the transportation planning process. Furthermore, day-to-day traffic flow volatility is a wellacknowledged phenomenon that planners and researchers alike view as increasingly important. Consequentially, current research advances have been addressing more complex assignment models capable of representing various aspects of volatility. However despite the importance of accounting for volatility, deployed assignment models capable of large-scale application have continued relying on traditional assumptions of determinism and perfect