DLR Urban Traffic dataset (DLR UT)

The dataset includes both raw and metadata from the Application Platform Intelligent Mobility (AIM) Research Intersection in Braunschweig, Germany. The raw data comprises trajectory data of traffic participants, as well as traffic light data, local weather data, air quality data, and road condition data. The trajectory data is indexed by object ID and timestamps, including detailed information about the position, speed, acceleration, dimensions, and classification of each object. The dataset contains 32,296 trajectories, covering both motorized and vulnerable road users. The traffic light data captures the current state of all 30 traffic lights at the intersection. The weather data provides information on wind, sunlight, precipitation, visibility, and more. The air quality data represent concentrations of five different gases and fine particle concentrations in the atmosphere. The road condition data provide information on surface temperature, water layer thickness, and more. The metadata contains data extracted from the raw trajectory data, specifically traffic volume data, and 4 OpenSCENARIO files that represent the trajectory data using FollowTrajectoryActions. The dataset is used in the KoFeMo project for various applications, such as analysing the relationship between traffic volume and particulate matter pollution, and calibrating particulate matter pollution simulations based on this analysis. For any questions regarding the dataset, please contact opendata-ts@dlr.de. For citation, please refer to the publication. Take a look at the DLR Highway Traffic dataset if you're interested in trajectories up to 6 km long from a German highway.