Applied Sciences (Jan 2023)

Research on Queue Equilibrium Control Algorithm of Urban Traffic Based on Game Theory

  • Li Wang,
  • Ke Pan,
  • Qi Zhao,
  • Lili Zhang,
  • Lingyu Zhang

DOI
https://doi.org/10.3390/app13031781
Journal volume & issue
Vol. 13, no. 3
p. 1781

Abstract

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The intersection traffic signal control is an essential means of urban traffic. To solve the problem of urban congestion, it is necessary to consider the optimal signal control strategy for intersections. Using the store-and-forward method of traffic control modeling, the in-queue vehicle number of the key signal phase as the payoff index, this paper designs an optimal intersection signal-timing strategy based on the game theory method. In this strategy, each key phase is regarded as a game player, and each player competes for the release time to maximize their own payoff and minimize the queue. To optimize the intersection efficiency, a game strategy is designed to achieve the Nash equilibrium state, which is the queueing equilibrium of each key phase. Finally, by VISSIM simulation, the total number of stops can be decreased by 5% to 10% compared with the MA-DD-DACC method.

Keywords