Deploying Traffic Smoothing Cruise Controllers Learned from Trajectory Data
Nathan Lichtlé,Eugene Vinitsky,Matthew Nice,Benjamin Seibold,Dan Work,Alexandre M. Bayen,Nathan Lichtlé,Eugene Vinitsky,Matthew Nice,Benjamin Seibold,Dan Work,Alexandre M. Bayen
Autonomous vehicle-based traffic smoothing con-trollers are often not transferred to real-world use due to challenges in calibrating many-agent traffic simulators. We show a pipeline to sidestep such calibration issues by collecting trajectory data and learning controllers directly from trajectory data that are then deployed zero-shot onto the highway. We construct a dataset of 772.3 kilometers of...
