Traffic state dataset

Jiading dataset is our newly created simulated urban traffic dataset. We employ SUMO, a traffic simulator, to generate trajectories of autonomous vehicles, and ns-3, a network simulator, to deploy communicationdevices. Following the setting of PeMSD8, we sample source data twice every minute and compute traffic state parameters every 5 minutes in lane-level and road-level ways. JiadingLane dataset is an urban lane-level traffic parameter dataset, with the same roadway and configuration as the Jiading dataset. The split ratio between the training and test sets is roughly 80% for training and 20% for testing.