Carola Wenk's web pages.
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Geometric Algorithms for Constructing Road Networks from Trajectories
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This page describes the scope and results funded by the following grant:
Any opinions, findings, and conclusions or
recommendations expressed in this material are those of the author(s)
and do not necessarily reflect the views of the National Science
Foundation.
Abstract
The objective of this project is to develop geometric algorithms with
quality and performance guarantees for constructing road networks from
geo-referenced trajectory data. This is a new type of geometric
reconstruction problem in which the task is to extract the underlying
geometric structure sampled by a a set of noisy, movement-constrained
trajectories. Different models for trajectories and for road networks
will be investigated. Ideas from geometric shape matching,
probabilistic modeling, and trajectory clustering will be applied to
develop geometric algorithms with quality and performance guarantees
that exploit the continuity of the input trajectories. Proof-of-concept
implementations will be developed to test and validate the algorithms
on real data.
Vast amounts of geo-referenced trajectory data are being collected due
to the ubiquitous availability of positioning technologies such as the
Global Positioning System (GPS). This project will help address the
very timely challenge of analyzing this data. It will also provide
novel algorithms for construction and maintenance of digital street
maps, which are among the most valuable digital data resource in
today's society. The results of this project will benefit a wealth of
applications ranging from a variety of location-based services on
street maps to the analysis of tracking data for hiking trail map
generation or for studying social behavior in animals. Students will
be tightly integrated into research projects, providing them with
collaborative research experience.
Collaborators:
- Hee-Kap Ahn, Pohang University of Science and Technology, South Korea
- Helmut Alt, Freie Universität Berlin, Germany
- Maike Buchin, Ruhr-Universität Bochum, Germany
- Brittany Fasy, Montana State University
- Matt Gibson, University of Texas at San Antonio
- Kyle Hickman, Tulane University
- Sophia Karagiorgou, Imis Athena and National Technical University of Athens, Greece
- Eunjin Oh, Pohang University of Science and Technology, South Korea
- Dieter Pfoser, George Mason University
Students:
- Parker Evans
- Selçuk Karakoç
- Sushovan Majhi
- Mahmuda Ahmed, graduated summer 2015, now at Uber.
Publications:
- "Map Construction Algorithms", (M. Ahmed, S. Karagiorgou, D. Pfoser, C. Wenk), Springer, 2015.
- "Path-Based Distance for Street Map Comparison",
(M. Ahmed, B.T. Fasy, K.S. Hickmann, C. Wenk),
ACM Transactions on Spatial Algorithms and Systems (TSAS) 1(1): article 3, 28 pages, 2015. (arXiv:1309.6131)
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"A Comparison and Evaluation of Map Construction Algorithms",
(M. Ahmed, S. Karagiorgou, D. Pfoser, C. Wenk), Geoinformatica 19(3): 601-632, 2015. (arXiv:1402.5138)
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"A Middle Curve Based on Discrete Fréchet Distance",
(H.-K. Ahn, H. Alt, M. Buchin, E. Oh, L. Scharf, C. Wenk),
Proc. 12th Latin American Theoretical Informatics Symposium: 14-26, 2016.
- "Choosing Thresholds for Density-Based Map Construction
Algorithms",
(M. Ahmed, B.T. Fasy, M. Gibson, C. Wenk),
International Conference on Advances
in Geographic Information Systems (ACM SIGSPATIAL), 2015.
- "Local Persistent Homology Based Distance Between Maps",
(M. Ahmed, B.T. Fasy, C. Wenk), International Conference on Advances
in Geographic Information Systems (ACM SIGSPATIAL), 10 pages, 2014.
- "A Comparison and Evaluation of Map Construction Algorithms",
(M. Ahmed, S. Karagiorgou, D. Pfoser, C. Wenk), ArXiv: 1402.5138, 2014.
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"Path-Based Distance for Street Map Comparison",
(M. Ahmed, B.T. Fasy, K.S. Hickmann, C. Wenk), ArXiv: 1309.6131, 2013.
- Path-based distance measure code for map comparison, 2013.
Available at mapconstruction.org.
- Map Construction Portal, mapconstruction.org, (M. Ahmed, S. Karagiourgou, D. Pfoser, C. Wenk), since 2013.
- "Probabilistic Street-Intersection Reconstruction from GPS
Trajectories: Approaches and Challenges", (M. Ahmed and C. Wenk),
ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain
Spatio-Temporal Data, Redondo Beach, CA, 2012.
- "Constructing Street Networks from GPS Trajectories",
(M. Ahmed and C. Wenk), European Symposium on Algorithms (ESA): 60-71, Ljubljana, Slovenia, 2012. [slides]
- Fréchet-based map construction code, 2013. Based on: "Constructing Street Networks from GPS Trajectories",
(M. Ahmed and C. Wenk), European Symposium on Algorithms (ESA): 60-71, Ljubljana, Slovenia, 2012. Available on mapconstruction.org;
integrated into Google's codebase.
- "Constructing Street-Maps from GPS Trajectories", (M. Ahmed, C. Wenk),
21st Fall Workshop on Computational Geometry (2 pages), City
College of New York, Manhattan, NY, 2011.
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"Constructing Street-Maps from GPS Trajectories", (M. Ahmed, C. Wenk), poster,
Grace Hopper
Celebration of Women in Computing, 2011.
Software:
Related Projects:
Last modified by Carola Wenk,
cwenk -at- tulane -dot- edu ,
08/26/2015 12:58:10