As a mainstay of transportation analysis, network modeling is an alluring methodology around which to build decision aids for contingency planning. And yet, because contingencies in transportation are so diverse, any single methodological approach is best suited only for certain of these decisions. By summarizing varied uses of network optimization and current capabilities of network-planning computer systems, this paper identifies the strengths and weaknesses of network analysis in supporting various planning and control issues that arise in contingency planning. It also proposes a framework for designing decision aids that combine sensitivity analysis, scenario planning, and simulation methods with the enormous computational capabilities of network optimization. Illustrations of network analysis are given in the context of vehicle fleet planning, equilibrium analysis of urban traffic flow, and energy distribution systems.
Read full abstract