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A Scalable In-Memory Solution for Real-Time K Nearest Search on Road Network

Authors:

Hao Wu,

Minglei Su,

Thanh Dat Le,

Nuo Xu,

Guanfeng Wang,

Mihai StroeAuthors Info & Claims

Spatial Gems, Volume 1

August 2022

Pages 85 - 96

https://doi.org/10.1145/3548732.3548743

Published: 08 August 2022 Publication History

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References

[1]

T. Abeywickrama, M. Aamir Cheema, and D. Taniar. 2016. K-nearest neighbors on road networks: A journey in experimentation and in-memory implementation. Proc. VLDB Endow. 9, 6, 492–503.

Digital Library

Google Scholar

[2]

Amazon Web Services. Amazon EC2 M5. https://aws.amazon.com/ec2/instance-types/m5/.

Google Scholar

[3]

B. Cao, C. Hou, S. Li, J. Fan, J. Yin, B. Zheng, and J. Bao. 2018. SIMkNN: A scalable method for in-memory kNN search over moving objects in road networks. IEEE Trans. Knowl. Data Eng. 30, 10, 1957–1970.

Crossref

Google Scholar

[4]

J. Hamme. 2013. Customizable Route Planning in External Memory. Bachelor’s thesis. Karlsruhe Institute of Technology. https://i11www.iti.kit.edu/_media/teaching/theses/ba-hamme-13.pdf.

Google Scholar

[5]

M. Kolahdouzan and C. Shahabi. 2004. Voronoi-based K nearest neighbor search for spatial network databases. In Proceedings 2004 VLDB Conference. ACM, 840–851.

Google Scholar

[6]

V. Leis, A. Kemper, and T. Neumann. 2013. The adaptive radix tree: ARTful indexing for main-memory databases. In 2013 IEEE 29th International Conference on Data Engineering (ICDE). IEEE, 38–49.

Digital Library

Google Scholar

[7]

Wikipedia. OpenStreetMap. Wikipedia, the Free Encyclopedia. Accessed February 11, 2021 from https://en.wikipedia.org/wiki/OpenStreetMap.

Google Scholar

[8]

D. Papadias, J. Zhang, N. Mamoulis, and Y. Tao. 2003. Query processing in spatial network databases. In Proceedings 2003 VLDB Conference. VLDB Endowment, 802–813.

Google Scholar

[9]

Y. Xu, J. Qi, R. Borovica-Gajic, and L. Kulik. 2018. Finding all nearest neighbors with a single graph traversal. In Database Systems for Advanced Applications, DASFAA 2018, Vol. 10827: Lecture Notes in Computer Science. Springer, Cham, 221–238.

Digital Library

Google Scholar

[10]

Z. Zhang, X. Huang, C. Sun, S. Zheng, B. Hu, J. Varadarajan, Y. Yin, R. Zimmermann, and G. Wang. 2019. Sextant: Grab’s scalable in-memory spatial data store for real-time K-nearest neighbour search. In 2019 20th IEEE International Conference on Mobile Data Management (MDM). IEEE, 243–251.

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A Scalable In-Memory Solution for Real-Time K Nearest Search on Road Network

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Published In

Spatial Gems, Volume 1

August 2022

186 pages

ISBN:9781450398138

DOI:10.1145/3548732

Editors:
John Krumm
Microsoft Research, Microsoft Corporation, Redmond, WA, USA
,
Andreas Züfle
Geography and Geoinformation Science Department, George Mason University, Fairfax, VA, USA
,
Cyrus Shahabi
Computer Science Department, University of Southern California, Los Angeles, CA, USA

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Association for Computing Machinery

New York, NY, United States

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Published: 08 August 2022

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Aggregate k-nearest neighbors queries in time-dependent road networks

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