Recent advances in sensor and mobile devices have enabled an unprecedented increase the availability collection of urban trajectory data, thus increasing demand for more efficient ways to manage analyze data being produced. In this survey, we comprehensively review recent research trends management, ranging from pre-processing, storage, common analytic tools, such as querying spatial-only spati...

Large-scale spatiotemporal data mining has created valuable insights into managing key areas of society and the economy. It encouraged owners to release/publish trajectory datasets. However, ill-informed publication such datasets may lead serious privacy implications for individuals. Moreover, as a major goal protection, balancing utility remains challenging problem due diversity data. user dim...

With the growing volumes of vehicle trajectory data, it becomes increasingly possible to capture time-varying and uncertain travel costs in a road network, including travel time and fuel consumption. The current paradigm represents a road network as a weighted graph; it blasts trajectories into small fragments that fit the underlying edges to assign weights to edges; and it then applies a routi...

This work addresses the problem of balancing the trade-off between the energy cost due to communication and the accuracy of the tracking-based trajectories’ detection and representation in Wireless Sensor Networks (WSNs) settings. We consider some of the approaches used by the Moving Objects Databases (MOD) and Computational Geometry (CG) communities, and we demonstrate that with appropriate ad...

Technological advances in sensing technologies and wireless telecommunication devices enable novel research fields related to the management of trajectory data. As it usually happens in data management world, the challenge after storing the data is the implementation of appropriate analytics that could extract useful knowledge. However, traditional data warehousing systems and techniques were n...

Huge amounts of movement data are nowadays being collected, as a consequence of the prevalence of mobile computing systems and location based services. While the research interest on the analysis of spatio-temporal data has also significantly increased, there are still several open challenges in areas such as interaction and information visualization. In this paper, we present the first steps o...