Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2676552.2676645acmconferencesArticle/Chapter ViewAbstractPublication PagesgisConference Proceedingsconference-collections
research-article

Road network compression techniques in spatiotemporal embedded systems: a survey

Published: 04 November 2014 Publication History

Abstract

The storage and manipulation of road network graphs are critical to navigational and location-based services. The widespread use of GPS devices combined with low-cost storage has enabled portable and embedded systems to handle several spatiotemporal operations against a natively-stored version of the road network graph. However, the increase in amount of map detail data over the years poses several challenges for such systems. In this paper, we highlight the need for adoption of road network compression techniques in embedded geographic information systems. We also provide a technical overview of proposed road network compression techniques.

References

[1]
Ali Khoshgozaran, Ali Khodaei, Mehdi Sharifzadeh, and Cyrus Shahabi. A hybrid aggregation and compression technique for road network databases. Knowledge and Information Systems, 17(3):265--286, 2008.
[2]
Zongyu Zhang. Vector road network compression: a prediction approach. In Proceedings of the American Society for Photogrammetry and Remote Sensing Conference, ASPRS, Reno, Nevada, USA, May 2006.
[3]
Alexander Akimov, Alexander Kolesnikov, and Pasi Franti. Reference line approach for vector data compression. In Proceeding of the IEEE International Conference on Image Processing, ICIP, pages 1891--1894, October 2004.
[4]
Shashi Shekhar, Yan Huang, Judy Djugash, and Changqing Zhou. Vector map compression: a clustering approach. In Proceedings of the ACM International Conference on Advances in Geographic Information Systems, ACM GIS, pages 74--80, VA, USA, November 2002.
[5]
Williams, H. E., Zobel, J.: Compressing integers for fast file access. The Computer Journal 42(3), 193--201 (1999).
[6]
Suh Jonghyun, Jung Sungwon, Pfeifle Martin, Vo Khoa T, Oswald Marcus, and Reinelt Gerhard. Compression of digital road networks. In Proceedings of the International Symposium on Advances in Spatial and Temporal Databases, SSTD, pages 423--440, Massachusetts, USA, July 2007.
[7]
Nabil H. Mustafa, Shankar Krishnan, Gokul Varadhan, and Suresh Venkatasubramanian. Dynamic simplification and visualization of large maps. International Journal of Geographical Information Science, 20(3):273--302, 2006.
[8]
Alan Saalfeld. Topologically Consistent Line Simplification with the Douglas-Peucker Algorithm. Cartography and Geographic Information Science, 26(1):7--18, 1999.
[9]
Shin ting Wu and Mercedes Roco Gonzales Mrquez. A Non-Self-Intersection Douglas-Peucker Algorithm. In Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI, pages 60--66, Ouro Preto, Brazil, August 2003.
[10]
David H. Douglas and Thomas K. Peuker. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. The International Journal for Geographic Information and Geovisualization, Cartographica, 10(2):112--122, 1973.
[11]
Ali Khoshgozaran, Ali Khodaei, Mehdi Sharifzadeh, and Cyrus Shahabi. A multi-resolution compression scheme for efficient window queries over road network databases. In the International Workshop on Spatial and Spatio-temporal Data Mining, pages 355--360, December 2006.
[12]
Michela Bertolotto and Max J. Egenhofer. Progressive transmission of vector map data over the world wide web. Geoinformatica 5(4):345--373, 2001.
[13]
Barbara Buttenfield. Transmitting vector geospatial data across the internet. In Proceeding of the International Conference on Geographic Information Science, GIScience, pages 51--64, 2002.
[14]
Xavier Barillot, Jean-François Hangouet, and Hakima Kadridahmani, Generalization of the Douglas and Peucker Algorithm for Cartographic Applications, in proceedings of the 20th International Cartographic Conference, ICC, Beijing, China, August 2001.
[15]
D. Solomon, Data Compression: The Complete Reference, 2nd edition, Springer-Verlag, 2000.
[16]
Minjie Chen, Mantao Xu, and Pasi Frnti. Fast dynamic quantization algorithm for vector map compression. In Proceeding of the IEEE International Conference on Image Processing, ICIP, 2010.

Cited By

View all
  • (2024)Improved Lightweight Rendering of Road Networks based on Contraction Hierarchies2024 IEEE 17th Pacific Visualization Conference (PacificVis)10.1109/PacificVis60374.2024.00030(202-211)Online publication date: 23-Apr-2024
  • (2022)Vision paperProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3561473(1-4)Online publication date: 1-Nov-2022
  • (2022)Gradual road network simplification with shape and topology preservationProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3560987(1-4)Online publication date: 1-Nov-2022
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
IWGS '14: Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoStreaming
November 2014
100 pages
ISBN:9781450331395
DOI:10.1145/2676552
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2014

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. compression
  2. digital map generalization
  3. digital maps
  4. location-based services
  5. road network graph

Qualifiers

  • Research-article

Conference

SIGSPATIAL '14
Sponsor:
  • Mapbox
  • University of North Texas
  • Microsoft
  • ORACLE
  • Facebook
  • SIGSPATIAL

Acceptance Rates

Overall Acceptance Rate 7 of 9 submissions, 78%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 19 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Improved Lightweight Rendering of Road Networks based on Contraction Hierarchies2024 IEEE 17th Pacific Visualization Conference (PacificVis)10.1109/PacificVis60374.2024.00030(202-211)Online publication date: 23-Apr-2024
  • (2022)Vision paperProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3561473(1-4)Online publication date: 1-Nov-2022
  • (2022)Gradual road network simplification with shape and topology preservationProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3560987(1-4)Online publication date: 1-Nov-2022
  • (2020)Road network simplification for location-based servicesGeoInformatica10.1007/s10707-020-00406-xOnline publication date: 1-May-2020
  • (2019)Practical Topologically Safe Rounding of Geographic NetworksProceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3347146.3359347(239-248)Online publication date: 5-Nov-2019
  • (2016)A vision for micro and macro location aware servicesProceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2996913.2996977(1-4)Online publication date: 31-Oct-2016
  • (2015)A Map-Matching Aware Framework for Road Network CompressionProceedings of the 2015 16th IEEE International Conference on Mobile Data Management - Volume 0110.1109/MDM.2015.78(307-310)Online publication date: 15-Jun-2015
  • (2015)COMAProceedings of the 2015 16th IEEE International Conference on Mobile Data Management - Volume 0110.1109/MDM.2015.77(104-109)Online publication date: 15-Jun-2015

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media