Abstract
Large vehicle trajectory data sets can give detailed insight into traffic and congestion that is useful for routing as well as transportation planning. Making information from such data sets available to more users can enable applications that reduce travel time and fuel consumption. However, extracting such information efficiently requires deep knowledge of the underlying schema and indexing methods. To enable more users to extract information from trajectory data, we have developed an API that removes the need to be familiar with the schema. Furthermore, when giving access to trajectory data, privacy concerns often call for the application of anonymization methods before analysis results are made available. In our demonstration, owners of trajectory data are able to experiment with different levels of anonymization to see how this affects the quality of different types of trajectory analysis services implemented on top of a large trajectory data set.
Original language | English |
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Title of host publication | Proceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019 |
Number of pages | 4 |
Publisher | Association for Computing Machinery |
Publication date | 19 Aug 2019 |
Pages | 198-201 |
ISBN (Electronic) | 9781450362801 |
DOIs | |
Publication status | Published - 19 Aug 2019 |
Event | 16th International Symposium on Spatial and Temporal Databases, SSTD 2019 - Vienna, Austria Duration: 19 Aug 2019 → 21 Aug 2019 |
Conference
Conference | 16th International Symposium on Spatial and Temporal Databases, SSTD 2019 |
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Country/Territory | Austria |
City | Vienna |
Period | 19/08/2019 → 21/08/2019 |
Sponsor | Esri, Google, Oracle |