SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA

J. Golze; U. Feuerhake; M. Sester

doi:10.5194/isprs-archives-XLIII-B4-2022-125-2022

SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA

J. Golze^*, U. Feuerhake, M. Sester

^*Corresponding author for this work

Institute of Cartography and Geoinformatics

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Abstract

In this article traffic accidents in Germany are investigated based on different environmental impacting factors. These factors are related to the accident surrounding like road characteristics, weather information, population density as well as POIs. For this purpose different open data source are used, like OpenStreetMap and an open weather API. These input data sources are processed in order to generate different categories of features, describing the on-site situation of an accident. Using the k-means clustering, six clusters were identified. In a consecutive investigation, each cluster is not only described with respect to the feature space but also in regards to their spatial distribution. Based on these findings, a regional comparison is done across the state boarders of Germany.

Original language	English
Title of host publication	XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission IV
Pages	125-132
Number of pages	8
DOIs	https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-125-2022
Publication status	Published - 1 Jun 2022
Event	2022 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission IV - Nice, France Duration: 6 Jun 2022 → 11 Jun 2022

Publication series

Name	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Publisher	International Society for Photogrammetry and Remote Sensing
Volume	XLIII-B4-2022
ISSN (Print)	1682-1750

Conference

Conference	2022 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission IV
Country/Territory	France
City	Nice
Period	6 Jun 2022 → 11 Jun 2022

UN Sustainable Development Goals (SDGs)

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Environmental context
External influences
Machine learning
Open data
Traffic accidents

ASJC Scopus subject areas

Information Systems
Geography, Planning and Development

Access to Document

10.5194/isprs-archives-XLIII-B4-2022-125-2022Licence: CC BY 4.0

Cite this

Golze, J., Feuerhake, U., & Sester, M. (2022). SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA. In XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission IV (pp. 125-132). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; Vol. XLIII-B4-2022). https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-125-2022

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title = "SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA",

abstract = "In this article traffic accidents in Germany are investigated based on different environmental impacting factors. These factors are related to the accident surrounding like road characteristics, weather information, population density as well as POIs. For this purpose different open data source are used, like OpenStreetMap and an open weather API. These input data sources are processed in order to generate different categories of features, describing the on-site situation of an accident. Using the k-means clustering, six clusters were identified. In a consecutive investigation, each cluster is not only described with respect to the feature space but also in regards to their spatial distribution. Based on these findings, a regional comparison is done across the state boarders of Germany. ",

keywords = "Environmental context, External influences, Machine learning, Open data, Traffic accidents",

author = "J. Golze and U. Feuerhake and M. Sester",

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Golze, J, Feuerhake, U & Sester, M 2022, SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA. in XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission IV. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. XLIII-B4-2022, pp. 125-132, 2022 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission IV, Nice, France, 6 Jun 2022. https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-125-2022

SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA. / Golze, J.; Feuerhake, U.; Sester, M.
XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission IV. 2022. p. 125-132 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; Vol. XLIII-B4-2022).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

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AU - Sester, M.

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AB - In this article traffic accidents in Germany are investigated based on different environmental impacting factors. These factors are related to the accident surrounding like road characteristics, weather information, population density as well as POIs. For this purpose different open data source are used, like OpenStreetMap and an open weather API. These input data sources are processed in order to generate different categories of features, describing the on-site situation of an accident. Using the k-means clustering, six clusters were identified. In a consecutive investigation, each cluster is not only described with respect to the feature space but also in regards to their spatial distribution. Based on these findings, a regional comparison is done across the state boarders of Germany.

KW - Environmental context

KW - External influences

KW - Machine learning

KW - Open data

KW - Traffic accidents

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Golze J, Feuerhake U , Sester M. SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA. In XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission IV. 2022. p. 125-132. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). doi: 10.5194/isprs-archives-XLIII-B4-2022-125-2022

SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA

Abstract

Publication series

Conference

UN Sustainable Development Goals (SDGs)

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this