10161x 【100% EXTENDED】

To improve safety and efficiency in complex traffic environments by predicting how human drivers will react. Suggested Outline for Your Paper

Autonomous vehicle (AV) decision-making in interactive scenarios like lane changing or merging. Key Methodology:

Detail how the "trust" score is calculated and how it modifies the AV's decision-making logic. 10161x

Used to model interactions between vehicles as a strategic game where each "player" (vehicle) tries to optimize its outcome.

Introduces a way for vehicles to evaluate the reliability and behavior of surrounding drivers, helping the AV decide whether to be cooperative or aggressive. To improve safety and efficiency in complex traffic

Summarize the findings regarding safety and traffic flow improvements compared to traditional models.

Discuss potential limitations, such as communication latency or ethical considerations in "trusting" other drivers. Citation Reference Used to model interactions between vehicles as a

Explain how the paper models vehicle interactions as multi-player games.