The Open Cybernetics & Systemics Journal
2014, 8 : 1091-1098Published online 2014 December 31. DOI: 10.2174/1874110X014080101091
Publisher ID: TOCSJ-8-1091
Upper Bounds on Inefficiency of Taxed Stackelberg Network with Cross- Nested Logit Assignment
ABSTRACT
Upper bound of efficiency loss is a valuable issue for transport network design and planning. This paper initially explores it in a taxed stochastic traffic network whose equilibrium flow pattern is deduced by a cross-nested Logit (CNL) flow assignment model, and a centrally controlling Stackelberg strategy. With the assumptions of separability, nondecreasingness, and convexity of the link time function and the fixed origin-destination (OD) demand of network, the equivalent variational inequality for a CNL-based stochastic user equilibrium (CNL-SUE) model is established and first used to obtain upper bounds on Stackelberg network inefficiency. Further, for low-degree link time function such as Bureau of Public Roads and the affine forms, their inefficiency upper bounds are analyzed with some meaningful results.