  The emergence of vehicle-to-everything (V2X) technology offers new insights
into intersection management. This, however, has also presented new challenges,
such as the need to understand and model the interactions of traffic
participants, including their competition and cooperation behaviors. Game
theory has been widely adopted to study rationally selfish or cooperative
behaviors during interactions and has been applied to advanced intersection
management. In this paper, we review the application of game theory to
intersection management and sort out relevant studies under various levels of
intelligence and connectivity. First, the problem of urban intersection
management and its challenges are briefly introduced. The basic elements of
game theory specifically for intersection applications are then summarized.
Next, we present the game-theoretic models and solutions that have been applied
to intersection management. Finally, the limitations and potential
opportunities for subsequent studies within the game-theoretic application to
intersection management are discussed.
