Quantifying benefits of traffic information provision under stochastic demand and capacity conditions: A multi-day traffic equilibrium approach

This paper aims to systematically evaluate benefits of traveler information provision strategies in a realistic environment with stochastic traffic demand, stochastic road capacity, and different degrees of traveler knowledge and traffic information provision quality. Based on a stochastic user equilibrium modeling framework, the proposed model uses a multi-day representation scheme to describe stochastic samples of uncertain demand and capacity supply, as well as day-dependent travel time. A gap-function based optimization model is further developed to find equilibrium solutions.