What question did this study set out to answer?

To review the application of game-theoretic formulations to urban intersection management across varying levels of vehicle connectivity and automation.

March 21, 2024IEEE Transactions on Intelligent Vehicles

Game Theoretic Application to Intersection Management: A Literature Review

View Full Paper

Ask AI

Bookmark

Authors

ZQZiye QinUniversity of California, Riverside AJAng JiSouthwest Jiaotong University ZSZhanbo SunSouthwest Jiaotong University

Discussion

Member takes

Implication

Literature review evaluates game-theoretic models for connected vehicle intersection management, highlighting frameworks that balance competitive and cooperative traffic behaviors.

Key Points

To review the application of game-theoretic formulations to urban intersection management across varying levels of vehicle connectivity and automation.
Synthesized existing research integrating game theory with intersection control within vehicle-to-everything (V2X) communication environments.
Categorized theoretical frameworks based on participant connectivity levels, intelligence paradigms, and competitive versus cooperative modeling strategies.
Characterized mathematical frameworks used to model rational decision-making, competition, and coordination among autonomous and human-driven vehicles.
Identified critical gaps in scalability and real-time computational performance under mixed-autonomy traffic conditions.

Cite This Study

Qin et al. (2024) studied this question.

synapsesocial.com/papers/69eec44597ac85d0fd398dc2 https://doi.org/10.1109/tiv.2024.3379986

View Full Paper

Ask AI

Bookmark

March 21, 2024IEEE Transactions on Intelligent Vehicles

Game Theoretic Application to Intersection Management: A Literature Review

View Full Paper

Ask AI

Bookmark

Authors

ZQZiye QinUniversity of California, Riverside AJAng JiSouthwest Jiaotong University ZSZhanbo SunSouthwest Jiaotong University

Discussion

Member takes

Implication

Literature review evaluates game-theoretic models for connected vehicle intersection management, highlighting frameworks that balance competitive and cooperative traffic behaviors.

Key Points

To review the application of game-theoretic formulations to urban intersection management across varying levels of vehicle connectivity and automation.
Synthesized existing research integrating game theory with intersection control within vehicle-to-everything (V2X) communication environments.
Categorized theoretical frameworks based on participant connectivity levels, intelligence paradigms, and competitive versus cooperative modeling strategies.
Characterized mathematical frameworks used to model rational decision-making, competition, and coordination among autonomous and human-driven vehicles.
Identified critical gaps in scalability and real-time computational performance under mixed-autonomy traffic conditions.

Cite This Study

Qin et al. (2024) studied this question.

synapsesocial.com/papers/69eec44597ac85d0fd398dc2 https://doi.org/10.1109/tiv.2024.3379986

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark