ST-Discovery: Data-Driven Discovery of Structural Dependencies in Urban Road Networks

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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Original languageEnglish
Title of host publicationSIGSPATIAL '19
Subtitle of host publicationProceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
EditorsFarnoush Banaei-Kashani, Goce Trajcevski, Ralf Harmut Güting, Lars Kulik, Shawn Newsam
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages488-491
Number of pages4
ISBN (electronic)9781450369091
Publication statusPublished - 5 Nov 2019
EventSIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - Chicago, United States
Duration: 5 Nov 20198 Nov 2019

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Abstract

The discovery of structural dependencies that cause correlated congestion patterns within urban road networks is of crucial importance for numerous real-world applications, including urban planning and scheduling of public transportation services. These dependencies can often result from the road network topology, are often not well understood and can become apparent under an increased traffic load. In this paper we propose the data-driven ST-Discovery approach that facilitates the effective discovery of structural dependencies using historical traffic flow data.

Keywords

    Outlier Detection, Road network Analysis, Spatio-temporal Clustering

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

ST-Discovery: Data-Driven Discovery of Structural Dependencies in Urban Road Networks. / Tempelmeier, Nicolas; Feuerhake, Udo; Wage, Oskar et al.
SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ed. / Farnoush Banaei-Kashani; Goce Trajcevski; Ralf Harmut Güting; Lars Kulik; Shawn Newsam. New York: Association for Computing Machinery (ACM), 2019. p. 488-491 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Tempelmeier, N, Feuerhake, U, Wage, O & Demidova, E 2019, ST-Discovery: Data-Driven Discovery of Structural Dependencies in Urban Road Networks. in F Banaei-Kashani, G Trajcevski, RH Güting, L Kulik & S Newsam (eds), SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, Association for Computing Machinery (ACM), New York, pp. 488-491, SIGSPATIAL '19, United States, 5 Nov 2019. https://doi.org/10.1145/3347146.3359109
Tempelmeier, N., Feuerhake, U., Wage, O., & Demidova, E. (2019). ST-Discovery: Data-Driven Discovery of Structural Dependencies in Urban Road Networks. In F. Banaei-Kashani, G. Trajcevski, R. H. Güting, L. Kulik, & S. Newsam (Eds.), SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 488-491). (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems). Association for Computing Machinery (ACM). https://doi.org/10.1145/3347146.3359109
Tempelmeier N, Feuerhake U, Wage O, Demidova E. ST-Discovery: Data-Driven Discovery of Structural Dependencies in Urban Road Networks. In Banaei-Kashani F, Trajcevski G, Güting RH, Kulik L, Newsam S, editors, SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York: Association for Computing Machinery (ACM). 2019. p. 488-491. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems). doi: 10.1145/3347146.3359109
Tempelmeier, Nicolas ; Feuerhake, Udo ; Wage, Oskar et al. / ST-Discovery : Data-Driven Discovery of Structural Dependencies in Urban Road Networks. SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. editor / Farnoush Banaei-Kashani ; Goce Trajcevski ; Ralf Harmut Güting ; Lars Kulik ; Shawn Newsam. New York : Association for Computing Machinery (ACM), 2019. pp. 488-491 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).
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