Network Evaluation with Uncertain and Correlated Long-Term Demand

摘要: Predictions of future travel demands are inherently uncertain, implying that network performance cannot be predicted with certainty. Assuming demand is deterministic, as typically done in transportation planning, can result inaccurate measures may lead to incorrect policy decisions. This work presents a methodology for treating long-term origin-destination random and possibly correlated solving user equilibrium. The effects various types correlations distributions on tested through numerical analysis. results indicate neglecting between performance. Multiple sampling approaches determine the most efficient method achieving accurate estimates