The DLR Highway Traffic Dataset (DLR-HT): Longest Road User Trajectories on a German Highway

Abstract

In recent years, several datasets containing trajectories of road users have been published, providing valuable insights for the analysis and modeling of traffic participant behavior. However, road user trajectories from highway datasets are often limited to lengths of less than 2.5 km, restricting the analysis of consecutive traffic scenarios, such as multiple lane changes. To address this gap, we introduce the DLR Highway Traffic dataset, the longest road user trajectory dataset from a German highway. This dataset contains 38,209 trajectories, along with local weather and road condition data collected over a period of 10 h at the Testbed Lower Saxony. A comparison with other publicly available datasets reveals that our dataset, with trajectories reaching up to 6,428 m in length, contains the longest trajectories from German highways, enabling the analysis of long-duration traffic scenarios. With a total of 143,371 km, our dataset is approximately three times larger than the largest existing German highway dataset, the highD dataset, which covers 44,500 km. However, it is 28 times smaller than the largest highway dataset, the I-24 MOTION dataset, which covers approximately 4,050,000 km. In contrast, our dataset stands out by including additional raw data beyond just trajectories, such as locally recorded weather data and road condition data. Furthermore, the traffic volume data, derived from the trajectory data, provide valuable insights into traffic flow. Additionally, the trajectory data are available in OpenSCENARIO format, facilitating the visualization and simulation of traffic scenarios. Overall, the dataset provides valuable resources for researchers seeking to conduct data-driven behavior modeling. It is available for non-commercial use and can be directly downloaded from https://doi.org/10.5281/zenodo.14811064.