Conference Proceeding Article
Congestion occurs when there is competition for resources by sel sh agents. In this paper, we are concerned with smoothing out congestion in a network of resources by using personalized well-timed in- centives that are subject to budget constraints. To that end, we provide: (i) a mathematical formulation that computes equilibrium for the re- source sharing congestion game with incentives and budget constraints; (ii) an integrated approach that scales to larger problems by exploiting the factored network structure and approximating the attained equilib- rium; (iii) an iterative best response algorithm for solving the uncon- strained version (no budget) of the resource sharing congestion game; and (iv) theoretical and empirical results (on an illustrative theme park problem) that demonstrate the usefulness of our approach.
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
Algorithmic Decision Theory: Third International Conference, ADT 2013, Bruxelles, Belgium, November 12-14, 2013, Proceedings
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VARAKANTHAM, Pradeep; FU, Na; YEOH, William; CHENG, Shih-Fen; and LAU, Hoong Chuin.
Budgeted personalized incentive approaches for smoothing congestion in resource networks. (2013). Algorithmic Decision Theory: Third International Conference, ADT 2013, Bruxelles, Belgium, November 12-14, 2013, Proceedings. 8176, 375-386. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1888
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