Reporter：Feng Xiao
Abstract：A summary of our developments on day-to-day traffic dynamics in recent several years. We first look into the day-to-day evolution of network flows that arises from travelers’ route choices and their learning behavior on perceived travel costs. We show that the flow dynamics is analogous to a damped oscillatory system; Second, by analogy to the chemical reaction in a mixture in thermodynamics, we extend the second-order day-to-day model in the first study for SUE; Then, we adopted regression analysis to investigate the existing day-to-day models based on a virtual route choice experiment; Finally, we studied how the advanced traveler information affects the stability of the day-to-day flow evolution of a transportation system. Two scenarios are investigated regarding the types of information provided, where one type is the historical travel time and the other the forecasted travel time.
