Multi-attribute Trajectory Data Management

Jianqiu Xu ()
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Jianqiu Xu: Nanjing University of Aeronautics and Astronautics

Chapter Chapter 9 in Handbook of Big Geospatial Data, 2021, pp 199-240 from Springer

Abstract: Abstract Motivated by the trend of enriching the knowledge about movement data, this chapter introduces representing and querying multi-attribute trajectories in a database system. Such a trajectory contains a sequence of time-stamped locations and a set of descriptive attributes. Multi-attribute trajectories mainly deal with attributes describing characteristics of objects, i.e., attributes that are not relevant to locations. This differs from semantic and activity trajectories in the literature that focus on location-dependent information. A range of novel queries are incurred that integrate both spatio-temporal data and attributes into the evaluation. To enhance the query performance, a hybrid and flexible index is developed to manage multi-attribute trajectories. Efficiently updating the structure is also presented. Query algorithms are proposed, accompanied with optimization strategies. Furthermore, the chapter introduces the system development, reports the performance evaluation and points out future directions.

Date: 2021
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DOI: 10.1007/978-3-030-55462-0_9

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