Abstract
This contribution is concerned with Wardrop traffic equilibria. As is well known these equilibria can be formulated as variational inequalities over a convex constraint set. Here we consider uncertain data that can be modeled as probabilistic. We survey different solution approaches to this class of problems, namely the expected value formulation, the expected residual minimization formulation, and the approach via random variational inequalities. To compare these solution approaches we provide and discuss numerical results for a 12 node network as a test example.
Dedicated to Professor H. Walk
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Agdeppa, R.P., Yamashita, N., Fukushima, M.: Convex expected residual models for stochastic affine variational inequality problems and its application to the traffic equilibrium problem. Pac. J. Optim. 6, 3–19 (2010)
Chen, X., Fukushima, M.: Expected residual minimization method for stochastic linear complementarity problems. Math. Oper. Res. 30, 1022–1038 (2005)
Dafermos, S.: Traffic equilibrium and variational inequalities. Transp. Sci. 14, 42–54 (1980)
Daniele, P., Giuffrè, S.: Random variational inequalities and the random traffic equilibrium problem. J. Optim. Theory Appl. 167, 363–381 (2015)
Facchinei, F., Pang, J.-S.: Finite-dimensional variational inequalities and complementarity problems. Springer Series in Operations Research, vol. II. Springer, New York (2003)
Fang, H., Chen, X., Fukushima, M.: Stochastic R0 matrix linear complementarity problems. SIAM J. Optim. 18, 482–506 (2007)
Giannessi, F., Maugeri, A. (eds.): Variational Inequalities and Network Equilibrium Problems. Plenum Press, New York (1995)
Gürkan, G., Özge, A.Y., Robinson, S.M.: Sample-path solution of stochastic variational inequalities. Math. Program. 84, 313–333 (1999)
Gwinner, J., Raciti, F.: On a class of random variational inequalities on random sets. Numer. Funct. Anal. Optim. 27, 619–636 (2006)
Gwinner, J., Raciti, F.: Random equilibrium problems on networks. Math. Comput. Model. 43, 880–891 (2006)
Jadamba, B., Khan, A.A., Raciti, F.: Regularization of stochastic variational inequalities and a comparison of an Lp and a sample-path approach. Nonlinear Anal. 94, 65–83 (2014)
Lin, G.-H., Fukushima, M.: Stochastic equilibrium problems and stochastic mathematical programs with equilibrium constraints: a survey. Pac. J. Optim. 6, 455–482 (2010)
Maugeri, A.: Convex programming, variational inequalities, and applications to the traffic equilibrium problem. Appl. Math. Optim. 16, 169–185 (1987)
Raciti, F., Falsaperla, P.: Improved noniterative algorithm for solving the traffic equilibrium problem. J. Optim. Theory Appl. 133, 401–411 (2007)
Smith, M.J.: The existence, uniqueness and stability of traffic equilibrium. Transp. Res. 138, 295–304 (1979)
Winkler, F.S.: Variational inequalities and complementarity problems for stochastic traffic user equilibria, Bachelor Thesis, Universität der Bundeswehr München and Kyoto University (2011)
Zhang, C., Chen, X.: Stochastic nonlinear complementarity problem and applications to traffic equilibrium under uncertainty. J. Optim. Theory Appl. 137, 277–295 (2008)
Zhang, C., Chen, X., Sumalee, A.: Robust Wardrops user equilibrium assignment under stochastic demand and supply: expected residual minimization approach. Transp. Res. Part B 45, 534–552 (2011)
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Gwinner, J., Winkler, F.S. (2018). Equilibria on Networks with Uncertain Data—A Comparison of Different Solution Approaches. In: Daniele, P., Scrimali, L. (eds) New Trends in Emerging Complex Real Life Problems. AIRO Springer Series, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-030-00473-6_31
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DOI: https://doi.org/10.1007/978-3-030-00473-6_31
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