Summary
We describe how several traffic assignment and design problems can be formulated within the GAMS modeling language using newly developed modeling and interface tools. The fundamental problem is user equilibrium, where multiple drivers compete noncooperatively for the resources of the traffic network. A description of how these models can be written as complementarity problems, variational inequalities, mathematical programs with equilibrium constraints, or stochastic linear programs is given. At least one general purpose solution technique for each model format is briefly outlined. Some observations relating to particular model solutions are drawn.
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References
D. P. Bertsekas. Dynamic Programming and Optimal Control. Athena Scientific, Belmont MA, 1995.
D. P. Bertsekas and J. N. Tsitsildis. An analysis of stochastic shortest path problems. Mathematics of Operations Research, 16: 580–595, 1991.
A. Brooke, D. Kendrick, and A. Meeraus. GAMS: A User’s Guide. The Scientific Press, South San Francisco, CA, 1988.
Y. Chen and M. Florian. O-D demand adjustment problem with congestion: Part I. model analysis and optimality conditions. Publication CRT-94–56, Centre de Recherche sur les Transports, Université de Montréal, Montréal, Canada, 1994.
A. R. Conn and Ph. L. Toint. An algorithm using quadratic interpolation for unconstrained derivative free optimization. In G. Di Pillo and F. Giannessi, editors, Nonlinear Optimization and Applications. Plenum Press, New York, 1996.
S. P. Dirkse and M. C. Ferris. MCPLIB: A collection of nonlinear mixed complementarity problems. Optimization Methods and Software, 5: 319–345, 1995.
S. P. Dirkse and M. C. Ferris. The PATH solver: A non-monotone stabilization scheme for mixed complementarity problems. Optimization Methods and Software, 5: 123–156, 1995.
S. P. Dirkse and M. C. Ferris. A pathsearch damped Newton method for computing general equilibria. Annals of Operations Research, 1996.
S. P. Dirkse and M. C. Ferris. Crash techniques for large-scale complementarity problems. In Ferris and Pang [14].
S. P. Dirkse, M. C. Ferris, P. V. Preckel, and T. Rutherford. The GAMS callable program library for variational and complementarity solvers. Mathematical Programming Technical Report 94–07, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, 1994.
B. C. Eaves. On the basic theorem of complementarity. Mathematical Programming, 1: 68–87, 1971.
M. C. Ferris and C. Kanzow. Recent developments in the solution of nonlinear complementarity problems. Technical report, Computer Sciences Department, University of Wisconsin, 1997. In preparation.
M. C. Ferris, A. Meeraus, and T. F. Rutherford. Computing Wardropian equilibrium in a complementarity framework. Mathematical Programming Technical Report 95–03, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, 1995.
M. C. Ferris and J. S. Pang, editors. Complementarily and Variational Problems: State of the Art, Philadelphia, Pennsylvania, 1997. SIAM Publications.
M. C. Ferris and J. S. Pang Engineering and economic applications of complementarity problems. SIAM Review, forthcoming, 1997.
M. C. Ferris and A. Ruszczynski. Robust path choice and vehicle guidance in networks with failures. Mathematical Programming Technical Report 97–04, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, 1997.
M. C. Ferris and T. F. Rutherford. Accessing realistic complementarity problems within Matlab. In G. Di Pillo and F. Giannessi, editors, Nonlinear Optimization and Applications. Plenum Press, New York, 1996.
M. Florian, editor. Traffic Equilibrium Methods, Berlin, 1976. Springer-Verlag.
M. Florian. Nonlinear cost network models in transportation analysis. Mathematical Programming Study, 26: 167–196, 1986.
T. L. Friesz. Network equilibrium, design and aggregation. Transportation Research, 19A: 413–427, 1985.
T. L. Friesz, R. L. Tobin, T. E. Smith, and P. T. Harker. A nonlinear complementarity formulation and solution procedure for the general derived demand network equilibrium problem. Journal of Regional Science, 23: 337–359, 1983.
P. T. Harker. Lectures on Computation of Equilibria with Equation-Based Methods. CORE Lecture Series. CORE Foundation, Louvain-la-Neuve, Université Catholique de Louvain, 1993.
A. Haurie and P. Marcotte. On the relationship between Nash-Cournot and Wardrop equilibria. Networks, 15: 295–308, 1985.
D. W. Hearn, S. Lawphongpanich, and J. A. Ventura. Restricted simplicial decomposition: Computation and extensions. Mathematical Programming Study, 31: 99–118, 1987.
P. Kall and S. W. Wallace. Stochastic Programming. John Wiley & Sons, Chichester, 1994.
A. J. King. SP/OSL version 1.0 stochastic programming interface library user’s guide. Technical Report RC 19757, IBM T.J. Watson Research Center, Yorktown Heights, New York, 1994.
M. Kocvara and J. V. Outrata. On optimization of systems governed by implicit complementarity problems. Technical Report 513, Institute of Applied Mathematics, University of Jena, Leutragraben, 1994.
M. Kocvara and J. V. Outrata. On the solution of optimum design problems with variational inequalities. In Recent Advances in Nonsmooth Optimization, pages 172–192. World Scientific Publishers, Singapore, 1995.
Z.-Q. Luo, J. S. Pang, and D. Ralph. Mathematical Programs with Equilibrium Constraints. Cambridge University Press, 1996.
T. L. Magnanti. Models and algorithms for predicting urban traffic equilibria. In M. Florian, editor, Transportation Planning Models, pages 153–186. North Holland, 1984.
P. Marcotte. Network design problem with congestion effects: A case of bilevel programming Mathematical Programming, 34: 142–162, 1986.
J. V. Outrata and J. Zowe. A numerical approach to optimization problems with variational inequality constraints. Mathematical Programming, 68: 105–130, 1995.
J. S. Pang and C. S. Yu. Linearized simplicial decomposition methods for computing traffic equilibria on networks. Networks, 14: 427–438, 1984.
G. H. Polychronopoulos and J. N. Tsitsiklis. Stochastic shortest path problems with recourse. Networks, 27: 133–143, 1996.
A. Prékopa. Stochastic Programming. Kluwer Academic Publishers, Dordrecht, 1995.
D. Ralph. Global convergence of damped Newton’s method for nonsmooth equations, via the path search. Mathematics of Operations Research, 19: 35 2389, 1994.
S. M. Robinson. Mathematical foundations of nonsmooth embedding methods. Mathematical Programming, 48: 221–229, 1990.
S. M. Robinson. Normal maps induced by linear transformations. Mathematics of Operations Research, 17: 691–714, 1992.
H. Schramm and J. Zowe. A version of the bundle idea for minimizing a nonsmooth function: Conceptual idea, convergence analysis, numerical results. SIAM Journal on Optimization, 2: 121–152, 1992.
M. J. Smith. The existence, uniqueness and stability of traffic equilibria. Transportation Research, 13B: 295–304, 1979.
Ph. L. Toint. Transportation modelling and operations research: A fruitful connection. In Ph. L. Toint, M. Labbe, K. Tanczos, and G. Laporte, editors, Operations Research and Decision Aid Methodologies in Traffic and Transportation Management. Springer-Verlag, 1997.
J. G. Wardrop. Some theoretical aspects of road traffic research. Proceeding of the Institute of Civil Engineers, Part II, pages 325–378, 1952.
R. J.-B. Wets. Large scale linear programming techniques in stochastic programming. In Yu. M. Ermoliev and R. J. B. Wets, editors, Numerical Techniques for Stochastic Optimization, pages 65–93. Springer-Verlag, Berlin, 1988.
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Dirkse, S.P., Ferris, M.C. (1998). Traffic Modeling and Variational Inequalities Using GAMS. In: Labbé, M., Laporte, G., Tanczos, K., Toint, P. (eds) Operations Research and Decision Aid Methodologies in Traffic and Transportation Management. NATO ASI Series, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03514-6_6
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DOI: https://doi.org/10.1007/978-3-662-03514-6_6
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