The travel demand and capacity on a travel network can be stochastic due to uncertain factors such as human activity and weather. For estimating the mean vector of travel demand and capacity, we propose a two-stage stochastic multi-objective optimization model. The first stage of our model is about parameter estimating, and the second stage is about the network reconstruction with daily observations on link and path counts. We show the existence of solution to our model and solution algorithm is given.