Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | SIGSPATIAL '19 |
| Untertitel | Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems |
| Herausgeber/-innen | Farnoush Banaei-Kashani, Goce Trajcevski, Ralf Harmut Güting, Lars Kulik, Shawn Newsam |
| Erscheinungsort | New York |
| Herausgeber (Verlag) | Association for Computing Machinery (ACM) |
| Seiten | 488-491 |
| Seitenumfang | 4 |
| ISBN (elektronisch) | 9781450369091 |
| Publikationsstatus | Veröffentlicht - 5 Nov. 2019 |
| Veranstaltung | SIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - Chicago, USA / Vereinigte Staaten Dauer: 5 Nov. 2019 → 8 Nov. 2019 |
Publikationsreihe
| Name | GIS: 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.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Erdoberflächenprozesse
- Informatik (insg.)
- Angewandte Informatik
- Mathematik (insg.)
- Modellierung und Simulation
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Informatik (insg.)
- Information systems
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- BibTex
- RIS
SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Hrsg. / Farnoush Banaei-Kashani; Goce Trajcevski; Ralf Harmut Güting; Lars Kulik; Shawn Newsam. New York: Association for Computing Machinery (ACM), 2019. S. 488-491 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - ST-Discovery
T2 - SIGSPATIAL '19
AU - Tempelmeier, Nicolas
AU - Feuerhake, Udo
AU - Wage, Oskar
AU - Demidova, Elena
PY - 2019/11/5
Y1 - 2019/11/5
N2 - 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.
AB - 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.
KW - Outlier Detection
KW - Road network Analysis
KW - Spatio-temporal Clustering
UR - http://www.scopus.com/inward/record.url?scp=85076982346&partnerID=8YFLogxK
U2 - 10.1145/3347146.3359109
DO - 10.1145/3347146.3359109
M3 - Conference contribution
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
SP - 488
EP - 491
BT - SIGSPATIAL '19
A2 - Banaei-Kashani, Farnoush
A2 - Trajcevski, Goce
A2 - Güting, Ralf Harmut
A2 - Kulik, Lars
A2 - Newsam, Shawn
PB - Association for Computing Machinery (ACM)
CY - New York
Y2 - 5 November 2019 through 8 November 2019
ER -