ST-Discovery

Data-Driven Discovery of Structural Dependencies in Urban Road Networks

authored by

Nicolas Tempelmeier, Udo Feuerhake, Oskar Wage, Elena Demidova

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.

Organisation(s)

L3S Research Centre
Institute of Cartography and Geoinformatics

Type

Conference contribution

Pages

488-491

No. of pages

4

Publication date

05.11.2019

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Earth-Surface Processes, Computer Science Applications, Modelling and Simulation, Computer Graphics and Computer-Aided Design, Information Systems

Sustainable Development Goals

SDG 9 - Industry, Innovation, and Infrastructure, SDG 11 - Sustainable Cities and Communities

Electronic version(s)

https://doi.org/10.1145/3347146.3359109 (Access: Closed)