Analyzing trajectories using a path-based API

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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 languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019
Number of pages4
PublisherAssociation for Computing Machinery
Publication date19 Aug 2019
Pages198-201
ISBN (Electronic)9781450362801
DOIs
Publication statusPublished - 19 Aug 2019
Event16th International Symposium on Spatial and Temporal Databases, SSTD 2019 - Vienna, Austria
Duration: 19 Aug 201921 Aug 2019

Conference

Conference16th International Symposium on Spatial and Temporal Databases, SSTD 2019
Country/TerritoryAustria
CityVienna
Period19/08/201921/08/2019
SponsorEsri, Google, Oracle

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