The following specific research objectives [SRO] have been defined:
- Definition of requirements for the input datasets needed. The requirements will consider the trajectory prediction accuracy expected. [SRO1]
- Study of the application of big-data techniques to trajectory related data gathering, filtering,
storing, prioritization, indexing or segmentation to support the generation of reliable and
homogenous input datasets [SRO2] - Study of different data-driven learning techniques to describe how a reliable trajectory
prediction model will leverage them [SRO3] - Formal description of the complexity network to support correlated multiple trajectory
predictions [SRO4] - Study of the application of agent-based models to the prediction of multiple correlated
trajectory predictions considering complexity network [SRO5] - Description of visualization techniques to enhance trajectory data management capabilities
[SRO6] - Exploration of advanced visualization processes for data-driven model algorithms
formulation, tuning and validation, in the context of 4D trajectories [SRO7]