Skip to main content

Dynamic Traffic Flow Assignment on Parallel Networks

  • Conference paper
  • First Online:
New Technologies, Development and Application VI (NT 2023)

Abstract

In a parallel network, the Wardrop equilibrium is the optimal distribution of the given total one unit flow across alternative parallel links that minimizes the effective costs of the links which are defined as the sum of the latency at the given flow and the price of the link. Meanwhile, the system optimum is the optimal distribution of the given total one unit flow for which the average effective cost is minimal. In this paper, we study the so-called Wardrop optimal flow that is the Wardrop equilibrium as well as the system optimum of the network. We propose a replicator equation on a Wardrop optimal network for which the Nash equilibrium, the Wardrop equilibrium and the system optimum are the same flow distribution of the network. We present a new algorithm for simulation of dynamic flow distribution in networks, and describe the conceptual and functional structure of intelligent information system for dynamic traffic flow assignment in transportation networks.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Acemoglu, D., Ozdaglar, A.: Competition and efficiency in congested markets. Math. Oper. Res. 32(1), 1–31 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  2. Nash, J.F.: Equilibrium points in \(n\)-person games. Proc. Nat. Acad. Sci. USA 36(1), 48–49 (1950)

    Article  MathSciNet  MATH  Google Scholar 

  3. Nash, J.F.: Non-cooperative games. Ann. Math. 54, 287–295 (1951)

    Article  MathSciNet  MATH  Google Scholar 

  4. Hofbauer, J., Sigmund, K.: Evolutionary game dynamics. Bull. Amer. Math. Soc. 40, 479–519 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  5. Sigmund, K.: Evolutionary Game Dynamics. AMS, Providence (2010)

    MATH  Google Scholar 

  6. Hofbauer, J., Sigmund, K.: Evolutionary Games and Replicator Dynamics. Cambridge University Press, Cambridge (1998)

    MATH  Google Scholar 

  7. Patriksson, M.: The Traffic Assignment Problem: Models and Methods. VSP, The Netherlands (1994)

    MATH  Google Scholar 

  8. Acemoglu, D., Srikant, R.: Incentives and prices in communication networks. In: Nisan, N., Roughgarden, T., Tardos, E., Vazirani, V.V. (eds.) Algorithmic Game Theory, pp. 107–132, Cambridge University Press (2007)

    Google Scholar 

  9. Carlier, G., Jimenez, C., Santambrogio, F.: Optimal transportation with traffic congestion and Wardrop equilibria. SIAM J. Control. Optim. 47, 1330–1350 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  10. Beckmann, M., McGuir, C., Winsten, C.: Studies in Economics of Transportation. Yale University Press, New Haven (1956)

    Google Scholar 

  11. Larsson, T., Patriksson, M.: Equilibrium characterizations of solutions to side constrained traffic equilibrium models. Matematiche (Catania) 49, 249–280 (1994)

    MathSciNet  MATH  Google Scholar 

  12. Larsson, T., Patriksson, M.: Side constrained traffic equilibrium models: analysis, computation and applications. Transportation Res. 33, 233–264 (1999)

    Article  Google Scholar 

  13. Cressman, R.: Evolutionary Dynamics and Extensive Form Games. MIT (2003)

    Google Scholar 

  14. Saburov, M.: On replicator equations with nonlinear payoff functions defined by the Ricker models. Adv. Pure Appl. Math. 12, 139–156 (2021)

    Article  Google Scholar 

  15. Saburov, M.: On discrete-time replicator equations with nonlinear payoff functions. Dyn. Games Appl. 12, 643–661 (2022)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Armen Bagdasaryan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bagdasaryan, A., Kalampakas, A., Saburov, M. (2023). Dynamic Traffic Flow Assignment on Parallel Networks. In: Karabegovic, I., Kovačević, A., Mandzuka, S. (eds) New Technologies, Development and Application VI. NT 2023. Lecture Notes in Networks and Systems, vol 687. Springer, Cham. https://doi.org/10.1007/978-3-031-31066-9_82

Download citation

Publish with us

Policies and ethics