The DLR Urban Traffic Dataset (DLR-UT): A Comprehensive Traffic Dataset from an Urban Research Intersection

Current trajectory datasets of traffic participants often lack detailed environmental information, which is crucial for developing effective data-driven methods for future mobility solutions. To address this gap, we introduce the comprehensive DLR Urban Traffic dataset. The dataset includes 32,296 tra-jectories of traffic participants, along with traffic light data, local weather data, air quality data, and road condition data collected at a Research Intersection during a single day. A comparison with other publicly available datasets reveals that our dataset offers more comprehensive information about the traffic environment than existing alternatives. In addition, since version 1.2.0, the dataset includes metadata such as traffic volume per lane and the trajectory data in the OpenSCENARIO format, enabling data replay in simulation. An analysis of our dataset shows that trajectories of motorized road users (MRU) are available for all possible 16 routes at the intersection. Most interactions between MRU occur during unprotected left turns with oncoming traffic. However, there are also interactions between MRU and vulnerable road users, particularly during right turns. All in all, the dataset provides researchers with the resources needed to improve urban mobility solutions. Available for non-commercial use, the dataset can be directly downloaded from https://doi.org/l0.5281/zenodo.14773161.