Solving Signal Control Problems with Second-Order Sensitivity Information of Equilibrium Network Flows

Hsun-Jung Cho and You-Heng Huang

Journal of Applied Mathematics, 2014, vol. 2014, 1-12

Abstract:

The equilibrium network signal control problem is represented as a Stackelberg game. Due to the characteristics of a Stackelberg game, solving the upper-level problem and lower-level problem iteratively cannot be expected to converge to the solution. The reaction function of the lower-level problem is the key information to solve a Stackelberg game. Usually, the reaction function is approximated by the network sensitivity information. This paper firstly presents the general form of the second-order sensitivity formula for equilibrium network flows. The second-order sensitivity information can be applied to the second-order reaction function to solve the network signal control problem efficiently. Finally, this paper also demonstrates two numerical examples that show the computation of second-order sensitivity and the speed of convergence of the nonlinear approximation algorithm.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:947190

DOI: 10.1155/2014/947190

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