Skip to main content
Log in

A Nonlinear Pairwise Swapping Dynamics to Model the Selfish Rerouting Evolutionary Game

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

Abstract

In this paper, a nonlinear revision protocol is proposed and embedded into the traffic evolution equation of the classical proportional-switch adjustment process (PAP), developing the present nonlinear pairwise swapping dynamics (NPSD) to describe the selfish rerouting evolutionary game. It is demonstrated that i) NPSD and PAP require the same amount of network information acquisition in the route-swaps, ii) NPSD is able to prevent the over-swapping deficiency under a plausible behavior description; iii) NPSD can maintain the solution invariance, which makes the trial and error process to identify a feasible step-length in a NPSD-based swapping algorithm is unnecessary, and iv) NPSD is a rational behavior swapping process and the continuous-time NPSD is globally convergent. Using the day-to-day NPSD, a numerical example is conducted to explore the effects of the reaction sensitivity on traffic evolution and characterize the convergence of discrete-time NPSD.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Bar-Gera H (2006) Primal method for determining the most likely routes flows in large road networks. Transp Sci 40(3):269–286

    Article  Google Scholar 

  • Beckmann MJ, McGuire CB, Winsten CB (1956) Studies in the economics of transportation. Yale University Press, New Haven

    Google Scholar 

  • Bie J, Lo HK (2010) Stability and attraction domains of traffic equilibria in a day-to-day dynamical system formulation. Transp Res B-Meth 44(1):90–107

    Article  Google Scholar 

  • Cantarella G, Cascetta E (1995) Dynamic processes and equilibrium in transportation networks: towards a unifying theory. Transp Sci 29(4):305–329

    Article  Google Scholar 

  • Cho HJ, Hwang MC (2005a) A stimulus–response model of day-to-day network dynamics. IEEE T Intell Transp 6(1):17–25

    Article  Google Scholar 

  • Cho HJ, Hwang MC (2005b) Day-to-day vehicular flow dynamics in intelligent transportation network. Math Comput Model 41(4–5):501–522

    Article  Google Scholar 

  • Di X, Liu HX, Ban X, Yu JW (2014) Submission to the DTA 2012 special issue: on the stability of a boundedly rational day-to-day dynamic. Netw Spat Econ. doi:10.1007/s11067-014-92 33-y

    Google Scholar 

  • Frank M, Wolfe P (1956) An algorithm for quadratic programming. Nav Res Log 3(1–2):95–110

    Article  Google Scholar 

  • Friesz TL, Berstein DH, Mehta NJ, Tobin RL, Ganjalizadeh S (1994) Day-to-day dynamic network disequilibrium and idealized traveler information systems. Oper Res 42(6):1120–1136

    Article  Google Scholar 

  • Guo RY, Yang H, Huang HJ (2013) A discrete rational adjustment process of link flows in traffic networks. Transp Res C-Emerg 34:121–137

    Article  Google Scholar 

  • Han L, Du L (2012) On a link-based day-to-day traffic assignment model. Transp Res B-Methods 46(1):72–84

    Article  Google Scholar 

  • He XZ, Liu HX (2012) Modeling the day-to-day traffic evolution process after an unexpected network disruption. Transp Res B-Methods 46(1):50–71

    Article  Google Scholar 

  • He XZ, Guo XL, Liu HX (2010) A link-based day-to-day traffic assignment model. Transp Res B-Methods 44(4):597–608

    Article  Google Scholar 

  • Hofbauer J (2011) Deterministic evolutionary game dynamics. In: Sigmund K (Ed.) Evolutionary game dynamics: Proceedings of symposia in applied mathematics (Vol. 69, pp. 61–79), AMS Bookstore

  • Huang HJ, Lam W (2002) Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues. Transp Res B 36(3):253–273

    Article  Google Scholar 

  • Jin WL (2007) A dynamical system model of the traffic assignment problem. Transp Res B-Methods 41(1):32–48

    Article  Google Scholar 

  • Jin WL (2014) Advances in dynamic traffic assgmnt: TAC. Netw Spat Econ. doi:10.1007/s110 67-014-9250-x

    Google Scholar 

  • Khalil HK (2002) Nonlinear systems, 3rd edn. Prentice-Hall, New Jersey

    Google Scholar 

  • Li Y, Tan ZJ, Chen Q (2012) Dynamics of a transportation network model with homogeneous and heterogeneous users. Discrete Dyn Nat Soc 2012(Article ID 918405):1–16

    Google Scholar 

  • Mounce R, Carey M (2011) Route-swapping in dynamic traffic networks. Transp Res B-Methods 45(1):102–111

    Article  Google Scholar 

  • Nagurney A, Zhang D (1997) Projected dynamical systems in the formulation, stability analysis, and computation of fixed-demand traffic network equilibria. Transp Sci 31(2):147–158

    Article  Google Scholar 

  • Nie XJ (2003) The Study of Dynamic User-equilibrium Traffic Assignment. University of California, Berkeley, Ph. D. Dissertation

  • Patriksson M (1994) The traffic assignment problem: Models and methods. VSP, Utrecht

  • Patriksson M (2004) Algorithms for computing traffic equilibria. Netw Spat Econ 4(1):23–38

    Article  Google Scholar 

  • Peeta S, Yang TH (2003) Stability issues for dynamic traffic assignment. Automatica 39(1):21–34

    Article  Google Scholar 

  • Peeta S, Ziliaskopoulos AK (2001) Foundations of dynamic traffic assignment: the past, the present and the future. Netw Spat Econ 1(3–4):233–265

    Article  Google Scholar 

  • Sandholm WH (2011) Stochastic evolutionary game dynamics: foundations, deterministic approximation, and equilibrium selection. In: Sigmund K (Ed.) Evolutionary game dynamics: Proceedings of symposia in applied mathematics (Vol. 69, pp. 111–141), AMS Bookstore

  • Sheffi Y (1985) Urban transportation networks: equilibrium analysis with mathematical programming methods. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  • Smith MJ (1983) The existence and calculation of traffic equilibria. Transp Res B-Meth 17(4):291–301

    Article  Google Scholar 

  • Smith MJ (1984) The stability of a dynamic model of traffic assignment-an application of a method of Lyapunov. Transp Sci 18(3):259–304

    Article  Google Scholar 

  • Smith MJ, Mounce R (2011) A splitting rate model of traffic re-routing and traffic control. Transp Res B-Methods 45(4):1389–1409

    Article  Google Scholar 

  • Smith MJ, Wisten MB (1995) A continuous day-to-day traffic assignment model and the existence of a continuous dynamic user equilibrium. A Oper Res 60(1):59–79

    Article  Google Scholar 

  • Wardrop JG (1952) Some theoretical aspects of road traffic research. Proceedings of the Institution of Civil Engineers, Part II–Research and Theory, pp. 325–378

  • Watling DP (1999) Stability of the stochastic equilibrium assignment problem: a dynamical systems approach. Transp Res B-Meth 33(4):281–312

    Article  Google Scholar 

  • Watling DP, Hazelton M (2003) The dynamics and equilibria of day-to-day assignment models. Netw Spat Econ 3(3):349–370

    Article  Google Scholar 

  • Xiao L, Lo HK (2014) Combined route choice and adaptive traffic control in a day-to-day dynamical System. Netw Spat Econ. doi:10.1007/s11067-014-9248-4

    Google Scholar 

  • Yang F (2005) An Evolutionary Game Theory Approach to the Day-to-day Traffic Dynamics. University of Wisconsin-Madison, Ph. D. Dissertation

  • Yang F, Zhang D (2009) Day-to-day stationary link flow pattern. Transp Res B-Methods 43(1):119–126

    Article  Google Scholar 

  • Yang F, Yin Y, Lu J (2007) Steepest descent day-to-day dynamic toll. Transp Res Rec 2039(1):83–90

    Article  Google Scholar 

  • Zhang D, Nagurney A (1996) On the local and global stability of a travel route choice adjustment process. Transp Res B 30(4):245–262

    Article  Google Scholar 

  • Zhang D, Nagurney A, Wu JH (2001) On the equivalence between stationary link flow patterns and traffic network equilibria. Transp Res B-Method 35(8):731–748

    Article  Google Scholar 

  • Zhang WY, Guan W, et al. (2014) Solving the reliability-based traffic equilibrium via a nonlinear pairwise swapping algorithm. Working paper

Download references

Acknowledgments

The authors extend their sincere thanks to the anonymous referees for their constructive comments. This study is jointly sponsored by the National Natural Science Foundation of China (71471014, 71401120) and the National Basic Research Program of China (2012CB725403-5).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wen-yi Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Wy., Guan, W., Ma, Jh. et al. A Nonlinear Pairwise Swapping Dynamics to Model the Selfish Rerouting Evolutionary Game. Netw Spat Econ 15, 1075–1092 (2015). https://doi.org/10.1007/s11067-014-9281-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11067-014-9281-3

Keywords

Navigation