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.
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References
Bar-Gera H (2006) Primal method for determining the most likely routes flows in large road networks. Transp Sci 40(3):269–286
Beckmann MJ, McGuire CB, Winsten CB (1956) Studies in the economics of transportation. Yale University Press, New Haven
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
Cantarella G, Cascetta E (1995) Dynamic processes and equilibrium in transportation networks: towards a unifying theory. Transp Sci 29(4):305–329
Cho HJ, Hwang MC (2005a) A stimulus–response model of day-to-day network dynamics. IEEE T Intell Transp 6(1):17–25
Cho HJ, Hwang MC (2005b) Day-to-day vehicular flow dynamics in intelligent transportation network. Math Comput Model 41(4–5):501–522
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
Frank M, Wolfe P (1956) An algorithm for quadratic programming. Nav Res Log 3(1–2):95–110
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
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
Han L, Du L (2012) On a link-based day-to-day traffic assignment model. Transp Res B-Methods 46(1):72–84
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
He XZ, Guo XL, Liu HX (2010) A link-based day-to-day traffic assignment model. Transp Res B-Methods 44(4):597–608
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
Jin WL (2007) A dynamical system model of the traffic assignment problem. Transp Res B-Methods 41(1):32–48
Jin WL (2014) Advances in dynamic traffic assgmnt: TAC. Netw Spat Econ. doi:10.1007/s110 67-014-9250-x
Khalil HK (2002) Nonlinear systems, 3rd edn. Prentice-Hall, New Jersey
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
Mounce R, Carey M (2011) Route-swapping in dynamic traffic networks. Transp Res B-Methods 45(1):102–111
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
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
Peeta S, Yang TH (2003) Stability issues for dynamic traffic assignment. Automatica 39(1):21–34
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
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
Smith MJ (1983) The existence and calculation of traffic equilibria. Transp Res B-Meth 17(4):291–301
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
Smith MJ, Mounce R (2011) A splitting rate model of traffic re-routing and traffic control. Transp Res B-Methods 45(4):1389–1409
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
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
Watling DP, Hazelton M (2003) The dynamics and equilibria of day-to-day assignment models. Netw Spat Econ 3(3):349–370
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
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
Yang F, Yin Y, Lu J (2007) Steepest descent day-to-day dynamic toll. Transp Res Rec 2039(1):83–90
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
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
Zhang WY, Guan W, et al. (2014) Solving the reliability-based traffic equilibrium via a nonlinear pairwise swapping algorithm. Working paper
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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).
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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
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DOI: https://doi.org/10.1007/s11067-014-9281-3