Nash equilibria for a model of traffic flow with several groups of drivers

Alberto Bressan; Ke Han

ESAIM: Control, Optimisation and Calculus of Variations (2012)

  • Volume: 18, Issue: 4, page 969-986
  • ISSN: 1292-8119

Abstract

top
Traffic flow is modeled by a conservation law describing the density of cars. It is assumed that each driver chooses his own departure time in order to minimize the sum of a departure and an arrival cost. There are N groups of drivers, The i-th group consists of κi drivers, sharing the same departure and arrival costs ϕi(t),ψi(t). For any given population sizes κ1,...,κn, we prove the existence of a Nash equilibrium solution, where no driver can lower his own total cost by choosing a different departure time. The possible non-uniqueness, and a characterization of this Nash equilibrium solution, are also discussed.

How to cite

top

Bressan, Alberto, and Han, Ke. "Nash equilibria for a model of traffic flow with several groups of drivers." ESAIM: Control, Optimisation and Calculus of Variations 18.4 (2012): 969-986. <http://eudml.org/doc/272910>.

@article{Bressan2012,
abstract = {Traffic flow is modeled by a conservation law describing the density of cars. It is assumed that each driver chooses his own departure time in order to minimize the sum of a departure and an arrival cost. There are N groups of drivers, The i-th group consists of κi drivers, sharing the same departure and arrival costs ϕi(t),ψi(t). For any given population sizes κ1,...,κn, we prove the existence of a Nash equilibrium solution, where no driver can lower his own total cost by choosing a different departure time. The possible non-uniqueness, and a characterization of this Nash equilibrium solution, are also discussed.},
author = {Bressan, Alberto, Han, Ke},
journal = {ESAIM: Control, Optimisation and Calculus of Variations},
keywords = {scalar conservation law; Hamilton-Jacobi equation; Nash equilibrium; non-uniqueness},
language = {eng},
number = {4},
pages = {969-986},
publisher = {EDP-Sciences},
title = {Nash equilibria for a model of traffic flow with several groups of drivers},
url = {http://eudml.org/doc/272910},
volume = {18},
year = {2012},
}

TY - JOUR
AU - Bressan, Alberto
AU - Han, Ke
TI - Nash equilibria for a model of traffic flow with several groups of drivers
JO - ESAIM: Control, Optimisation and Calculus of Variations
PY - 2012
PB - EDP-Sciences
VL - 18
IS - 4
SP - 969
EP - 986
AB - Traffic flow is modeled by a conservation law describing the density of cars. It is assumed that each driver chooses his own departure time in order to minimize the sum of a departure and an arrival cost. There are N groups of drivers, The i-th group consists of κi drivers, sharing the same departure and arrival costs ϕi(t),ψi(t). For any given population sizes κ1,...,κn, we prove the existence of a Nash equilibrium solution, where no driver can lower his own total cost by choosing a different departure time. The possible non-uniqueness, and a characterization of this Nash equilibrium solution, are also discussed.
LA - eng
KW - scalar conservation law; Hamilton-Jacobi equation; Nash equilibrium; non-uniqueness
UR - http://eudml.org/doc/272910
ER -

References

top
  1. [1] J.P. Aubin and A. Cellina, Differential inclusions. Set-Valued Maps and Viability Theory. Springer-Verlag, Berlin (1984). Zbl0538.34007MR755330
  2. [2] A. Bressan and K. Han, Optima and equilibria for a model of traffic flow. SIAM J. Math. Anal.43 (2011) 2384–2417. Zbl1236.90024MR2861667
  3. [3] A. Cellina, Approximation of set valued functions and fixed point theorems. Ann. Mat. Pura Appl.82 (1969) 17–24. Zbl0187.07701MR263046
  4. [4] F.H. Clarke, Yu.S. Ledyaev, R.J. Stern and P.R. Wolenski, Nonsmooth Analysis and Control Theory. Springer-Verlag, New York (1998). Zbl1047.49500MR1488695
  5. [5] T.L. Friesz, Dynamic Optimization and Differential Games, Springer, New York (2010). Zbl1207.91004
  6. [6] T.L. Friesz, T. Kim, C. Kwon and M.A. Rigdon, Approximate network loading and dual-time-scale dynamic user equilibrium. Transp. Res. Part B (2010). 
  7. [7] A. Fügenschuh, M. Herty and A. Martin, Combinatorial and continuous models for the optimization of traffic flows on networks. SIAM J. Optim.16 (2006) 1155–1176. Zbl1131.90015MR2219137
  8. [8] M. Garavello and B. Piccoli, Traffic Flow on Networks. Conservation Laws Models. AIMS Series on Applied Mathematics, Springfield, Mo. (2006). Zbl1136.90012MR2328174
  9. [9] M. Gugat, M. Herty, A. Klar and G. Leugering, Optimal control for traffic flow networks. J. Optim. Theory Appl.126 (2005) 589–616. Zbl1079.49024MR2164806
  10. [10] M. Herty, C. Kirchner and A. Klar, Instantaneous control for traffic flow. Math. Methods Appl. Sci.30 (2007) 153–169. Zbl1117.90030MR2285119
  11. [11] L.C. Evans, Partial Differential Equations, 2nd edition. American Mathematical Society, Providence, RI (2010). Zbl0902.35002
  12. [12] P.D. Lax, Hyperbolic systems of conservation laws II. Commun. Pure Appl. Math.10 (1957) 537–566. Zbl0081.08803MR93653
  13. [13] M. Lighthill and G. Whitham, On kinematic waves. II. A theory of traffic flow on long crowded roads. Proc. R. Soc. Lond. Ser. A 229 (1955) 317–345. Zbl0064.20906MR72606
  14. [14] P.I. Richards, Shock waves on the highway. Oper. Res.4 (1956), 42–51. MR75522
  15. [15] J. Smoller, Shock waves and reaction-diffusion equations, 2nd edition. Springer-Verlag, New York (1994). Zbl0508.35002MR1301779

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.