Analyzing trajectories using a path-based API

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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.

OriginalsprogEngelsk
TitelProceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019
Antal sider4
ForlagAssociation for Computing Machinery
Publikationsdato19 aug. 2019
Sider198-201
ISBN (Elektronisk)9781450362801
DOI
StatusUdgivet - 19 aug. 2019
Begivenhed16th International Symposium on Spatial and Temporal Databases, SSTD 2019 - Vienna, Østrig
Varighed: 19 aug. 201921 aug. 2019

Konference

Konference16th International Symposium on Spatial and Temporal Databases, SSTD 2019
Land/OmrådeØstrig
ByVienna
Periode19/08/201921/08/2019
SponsorEsri, Google, Oracle

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