Traffic Simulator

Traffic simulators are computational tools used to model and analyze traffic flow, primarily to support the development and testing of autonomous driving systems and intelligent transportation systems. Current research emphasizes creating more realistic and controllable simulations, often incorporating large language models, game-theoretic approaches, and deep reinforcement learning algorithms to generate diverse and safety-critical scenarios. This work aims to bridge the "reality gap" between simulated and real-world traffic, improving the reliability of testing and ultimately leading to safer and more efficient transportation systems.