DACT: Dataset of Annotated Car Trajectories

<b>DACT </b>contains two subsets of annotated car trajectories data. The dataset contains <b>50 </b>trajectories which cover about <b>13 </b>hours of driving data. In DACT, we manually specified <b>significant </b>driving patterns by using an interactive framework. A significant driving pattern can be anything like a <i>turn</i>, s<i>peed-up</i>, <i>slow-down</i>, etc. The annotation process consists of a crowd-sourcing task followed by comprehensive aggregation phases. The aggregation is done by two different strategies: Strict and Easy. For the first one, we used some strict constraints to aggregate crowd-sourcing results, while we used flexible constraints to generate the second subset of DACT. More information about this dataset may be find here: https://arxiv.org/abs/1705.05219 .Please cite this paper "<b>Trajectory Annotation by Discovering Driving Patterns (UrbanGIS'17</b><b>)</b>", available at https://dl.acm.org/citation.cfm?doid=3152178.3152184, if you want to use this dataset.