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teaching:projh402 [2020/10/01 12:51] mahmsakr [Geospatial Trajectory Similarity Measure] |
teaching:projh402 [2020/10/01 13:55] mahmsakr [Spatiotemporal k-Nearest Neighbour (kNN) Queries] |
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| The goal of this project is to survey and to prototype in MobilityDB the state of art methods in trajectory similarity. Since it is a complex problem, these outcomes should serve as a base for a thesis project to propose effective and efficient trajectory similarity measures. | The goal of this project is to survey and to prototype in MobilityDB the state of art methods in trajectory similarity. Since it is a complex problem, these outcomes should serve as a base for a thesis project to propose effective and efficient trajectory similarity measures. | ||
| ===== Spatiotemporal k-Nearest Neighbour (kNN) Queries ===== | ===== Spatiotemporal k-Nearest Neighbour (kNN) Queries ===== | ||
| + | An example of continuous kNN is when the GPS device of the vehicle initiates a query | ||
| + | to find the three closest gas stations to the vehicle at any time instant during its trip from source to destination. According to the location of the vehicle, the set of three nearest gas stations can change. The result is thus a set of intervals, where very interval is associated with a set of three gas stations. The challenge in this type of query is to find an efficient incremental way of evaluation. | ||
| + | The goal of the project is to survey the state of art in continuous kNN queries, and to prototype selected methods in MobilityDB. | ||