Skip to main content
Log in

Dynamic Congestion Pricing in Disequilibrium

  • Published:
Networks and Spatial Economics Aims and scope Submit manuscript

Abstract

A theory of dynamic congestion pricing for the day-to-day time scale is presented which takes the form of a continuous time optimal control problem. The formulation accomodates elastic nonseparable travel demands and nonseparable travel costs. Necessary conditions for optimal congestion prices are analyzed to uncover bang-bang, singular and synthesized optimal control decison rules for setting network tolls in a dynamic environment. These decision rules are shown to be sufficient for optimality under plausible regularity conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bernstein, D. and T.E. Smith. (1994). “Network Equilibria with Lower Semicontinuous Costs: With an Application to Congestion Pricing.” Transportation Science 28, 221–235.

    Google Scholar 

  • Bernstein, D. and J. Muller. (1993). “Understanding the Competing Short-Run Objectives of Peak Period Road Pricing.” Transportation Research Record 1395, 122–128.

    Google Scholar 

  • Braid, R.M. (1989). “Uniform versus Peak-Load Pricing of a Bottleneck with Elastic Demand.” Journal of Urban Economics 26, 320–327.

    Google Scholar 

  • Bryson, A.E. Jr., and Y.-C. Ho. (1975). Applied Optimal Control. Halsted Press.

  • Carey, M. (1980). “Stability of Competitive Regional Trade with Monotone Demand/Supply Functions.” J. Reg. Sci. 20, 489–501.

    Google Scholar 

  • Carey, M. and A. Srinivasen. (1993). “Externalities, Average and Marginal Cost, and Tolls on Congested Networks with Time-Varying Flows.” Operations Research 41, 217–231.

    Google Scholar 

  • Dafermos, S. (1971). “Optimal Resource Allocation and Toll Patterns in User Optimized Transportation Networks.” Journal of Transport Economics and Policy 5, 1–17.

    Google Scholar 

  • Dial, R.B. (1997a). “Network Optimized Congestion Pricing, Part I: A Parable, Model, Algorithm and Heuristic.” Operations Research (forthcoming).

  • Dial, R.B. (1997b). “Network Optimized Congestion Pricing, Part II: Algorithms and Examples.” Operations Research (forthcoming).

  • Dial, R.B. (1997c). “Minimum-Revenue Congestion Pricing, Part I: A Fast Algorithm for the Single-Origin Case.” Transportation Research (forthcoming).

  • Fernandez, J.E. and T.L. Friesz. (1983). “Travel Market Equilibrium: The State of the Art.” Transportation Research 17B(2), 155–172.

    Google Scholar 

  • Friesz, T. (1985). “Transportation Network Equilibrium, Design and Aggregation.” Transportation Research 19A(5/6), 413–427.

    Google Scholar 

  • Friesz, T., D. Bernstein, T. Smith, R. Tobin, and B.W. Wie. (1993). “A Variational Inequality Formulation of the Dynamic Network User Equilibrium Problem.” Operations Research 41(1), 80–91.

    Google Scholar 

  • Friesz, T., D. Bernstein, N. Mehta, R. Tobin and S. Ganjalizadeh. (1994). “Day-toDay Dynamic Network Disequilibrium and Idealized Driver Information Systems.” Operations Research 42(16), 1120–1136.

    Google Scholar 

  • Friesz, T., D. Bernstein and R. Stough. (1996). “Dynamic Systems, Variational Inequalities and Control Theoretic Models for Predicting Time-Varying Urban Network Flows.” Transportation Science 30(1), 14–3.

    Google Scholar 

  • Kydes, N.A. (2002). “A Multigrid Solution to the Continuous Dynamic Disequilibrium Network Design Problem.” Ph.D. Thesis in progress, George Mason University.

  • Jara-Diaz, S. and T. Friesz. (1982). “Measuring the Benefits of a Transportation Investment.” Transportation Research 16B(1), 57–77.

    Google Scholar 

  • Seierstad, A. and K. Sydsaeter. (1977). “Sufficient Conditions in Optimal Control Theory.” International Economic Review 18(2), 367–391.

    Google Scholar 

  • Yang, H. and M.G.H. Bell. (1998). “Models and Algorithms for Road Network Design: A Review and Some New Developments.” Transport Review 18, 257–278.

    Google Scholar 

  • Huang, H.J. and M.G.H. Bell. (1998). “Continuous Equilibrium Network Design with Elastic Demand: Derivative-Free Solution Methods.” In Transportation Networks: Recent Methodological Advances, Elsevier Science Publishers, pp. 175–193.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Friesz, T.L., Bernstein, D. & Kydes, N. Dynamic Congestion Pricing in Disequilibrium. Networks and Spatial Economics 4, 181–202 (2004). https://doi.org/10.1023/B:NETS.0000027772.43771.94

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:NETS.0000027772.43771.94

Navigation