Abstract
In traffic research, management, and planning a number of path-based analyses are heavily used, e.g., for computing turn-times, evaluating green waves, or studying traffic flow. These analyses require retrieving the trajectories that follow the full path being analyzed. Existing path queries cannot sufficiently support such path-based analyses because they retrieve all trajectories that touch any edge in the path. In this paper, we define and formalize the strict path query. This is a novel query type tailored to support path-based analysis, where trajectories must follow all edges in the path. To efficiently support strict path queries, we present a novel NETwork-constrained TRAjectory index (NETTRA). This index enables very efficient retrieval of trajectories that follow a specific path, i.e., strict path queries. NETTRA uses a new path encoding scheme that can determine if a trajectory follows a specific path by only retrieving data from the first and last edge in the path. To correctly answer strict path queries existing network-constrained trajectory indexes must retrieve data from all edges in the path. An extensive performance study of NETTRA using a very large real-world trajectory data set, consisting of 1.7 million trajectories (941 million GPS records) and a road network with 1.3 million edges, shows a speed-up of two orders of magnitude compared to state-of-the-art trajectory indexes.
Originalsprog | Engelsk |
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Titel | SIGSPATIAL'14:Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems |
Antal sider | 10 |
Forlag | Association for Computing Machinery |
Publikationsdato | 4 nov. 2014 |
Sider | 341-350 |
ISBN (Trykt) | 978-1-4503-3131-9 |
DOI | |
Status | Udgivet - 4 nov. 2014 |
Begivenhed | 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2014) - Dallas, Texas, USA Varighed: 4 nov. 2014 → 7 nov. 2014 |
Konference
Konference | 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2014) |
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Land/Område | USA |
By | Dallas, Texas |
Periode | 04/11/2014 → 07/11/2014 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Path-based Queries on Trajectory Data'. Sammen danner de et unikt fingeraftryk.Priser
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Best Paper Award
Krogh, Benjamin Bjerre (Modtager), Pelekis, Nikos (Modtager), Torp, Kristian (Modtager) & Theodoridis, Yannis (Modtager), 2014
Pris: Konferencepriser