The Robust Model of Continuous Transportation Network Design Problem with Demand Uncertainty

Abstract

In the urban traffic network, the trip generations of every origin and trip attractions of every destination are closely related to the economic level of the traffic zone, land use, population, and the other factors, generally accurately forecast, although the demands between the origin and the destination are difficult to accurately predict. In this paper, we assume that the trip generations of every origin and trip attractions of every destination are deterministic, but the demands between every origin and destination are uncertain and belong to a bounded interval. We propose a min-max model of continuous network design with demand uncertainty under user equilibrium with robust optimizations. For our proposed model, we apply sensitivity analysis combined with the methods of sequence average algorithm to solve the robust model. Numerical examples demonstrate that the robust solutions of the continuous network design are more reliable than the deterministic solutions.