Congestion Games with Strategic Departure Time Thomas Rivera 1 Marco - - PowerPoint PPT Presentation

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Congestion Games with Strategic Departure Time Thomas Rivera 1 Marco - - PowerPoint PPT Presentation

Model Equilibria Efficiency Correlation Congestion Games with Strategic Departure Time Thomas Rivera 1 Marco Scarsini 2 Tristan Tomala 1 1 HEC, Paris 1 LUISS, Rome Dynamic Traffic Models in Transportation Science Dagstuhl, October 2015 Model


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Model Equilibria Efficiency Correlation

Congestion Games with Strategic Departure Time

Thomas Rivera1 Marco Scarsini2 Tristan Tomala1

1HEC, Paris 1LUISS, Rome

Dynamic Traffic Models in Transportation Science Dagstuhl, October 2015

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Model Equilibria Efficiency Correlation

Congestion games

  • In a static congestion game players use resources and the

cost of using a resource is an increasing function of the number of players that use it.

  • Time is not a variable in the description of the game.
  • In a dynamic congestion game time is a relevant

parameter but the inflow of players in the system is exogenously given.

  • We consider a game where the time a player enters the

system is strategically chosen.

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Model Equilibria Efficiency Correlation

The model

  • Single path from source to destination.
  • Capacity of the path γ “ 1.
  • Length of the path β “ 1.
  • Discrete time.
  • Atomic game with n players. The set of players is N.
  • A player chooses a time when to enter the path at the

source.

  • The set of pure strategies of player i is Si “ Z.
  • Set of pure strategy profiles S :“ ˆiPNSi.
  • Set of mixed strategy profiles Σ :“ ˆiPN∆pSiq.
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Model Equilibria Efficiency Correlation

´n ´n ` 1 ´n ` 2 ´2 ´1

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Model Equilibria Efficiency Correlation

The model, continued

  • Each player needs to arrive at destination by time 0,
  • therwise she incurs a penalty cost C, assumed very large.
  • ai is the arrival time of player i.
  • The cost (negative utility) of player i departing at time ´t is

Riptq “ riptq ` 1pai ą 0q ¨ C where rip¨q is a strictly increasing function.

  • For any mixed strategy profile σ P Σ the social cost is

C pσq “ ´ ÿ

iPI

ÿ

siPZ

Ripsiqσipsiq.

  • In particular, for a pure strategy profile s P S

C psq “ ´ ÿ

iPI

Ripsiq

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Model Equilibria Efficiency Correlation

Equilibria and optima

  • Call E the set of Nash equilibria.
  • Call W the set of worst Nash equilibria, i.e.,

σ˚ P W iff C pσ˚q “ max

σPE C pσq.

  • Call B the set of best Nash equilibria, i.e.,

σ˚ P B iff C pσ˚q “ min

σPE C pσq.

  • Call O the set of social optima, i.e.,

σ˝ P O iff C pσ˝q “ min

σPΣ C pσq.

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Model Equilibria Efficiency Correlation

Nash Equilibrium

  • Assume riptq “ t.
  • The game has no pure equilibria.
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Model Equilibria Efficiency Correlation

Nash Equilibrium, continued

Proposition

For C ą n, if σ˚ P W , then supppσ˚

i q “ t´n, ´pn ´ 1qu for all

i P N.

Proposition

For C ą n2, if σ˚ P B, then, for some j P N, σ˚

j “ ´n and

supppσ˚

i q “ t´pn ´ 1q, ´pn ´ 2qu for all i P Nztju.

Proposition

For C ą n, if σ˝ P O, then one player leaves at each time ´n, p´n ´ 1q, . . . , ´1.

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Model Equilibria Efficiency Correlation

Worse equilibrium ε “ p n

C q

1 n´1

´n ´n ` 1 ´n ` 2 ´2 ´1 1 ´ ε ε Best equilibrium η “ pn´1

C q

1 n´2

´n ´n ` 1 ´n ` 2 ´2 ´1 1 pl 1 ´ η η

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Model Equilibria Efficiency Correlation

Price of anarchy

Definition

The Price of anarchy is PoA “ C pσ˚q C pσ˝q with σ˚ P W and σ˝ P O.

Corollary

For C ą n PoA “ n2

npn`1q 2

“ 2 ´ 2 n ` 1

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Model Equilibria Efficiency Correlation

Price of stability

Definition

The Price of stability is PoS “ C pσ˚q C pσ˝q with σ˚ P B and σ˝ P O.

Corollary

For C ą n PoS “ 2 ` 2 npn ` 1q ´ 4 n ` 1.

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Correlated equilibria

Definition

A planner draws a profile of strategies according to Q P ∆pSq and makes the drawn recommendation to the players. The distribution Q is a correlated equilibrium if whenever player i is told to depart at time ´k, then this is optimal for her to accept the recommendation, i.e., for all i P N ÿ

sPS

Qps|si “ ´kqRipk, s´iq ď ÿ

sPS

Qps|si “ ´kqRipk1, s´iq. for all k1 “ 1, . . . , n.

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Model Equilibria Efficiency Correlation

  • The outcome x induced by the profile s is the vector that

indicates the number of departures at any given time.

  • Call X the set of outcomes and Y the set of outcomes

where no player is late.

  • Any distribution on S induces a distribution on X.
  • Call xk the outcome

xk

t “

$ ’ & ’ % k ´ 1 for t “ ´pk ´ 1q, 1 for t P t´n, . . . , ´ku,

  • therwise.
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Model Equilibria Efficiency Correlation

Efficiency and correlation

Proposition

There exists C such that for all C ą C we can construct the best correlated equilibrium Q. This equilibrium induces a distribution r Q on X that is supported on x2, . . . , xn. This correlated equilibrium has a cost that is close to the

  • ptimal cost.
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Model Equilibria Efficiency Correlation