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

Abstract

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 version 1.2.0. The dataset includes 32,296 trajectories of traffic participants, along with traffic light data, local weather data, air quality data, and road condition data collected at the Application Platform for Intelligent Mobility Research Intersection during a single day of recording. A comparison with other publicly available datasets reveals that our dataset offers more comprehensive information about the traffic environment than existing alternatives. An analysis of our dataset shows that trajectories are available for all possible 16 routes at the intersection, with the number of trajectories per route varying significantly, ranging from 11 to 3,344. Most interactions between motorized road users occur during unprotected left turns with oncoming traffic. However, there are also interactions between motorized 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/10.5281/zenodo.14773161.