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Crash Rate Estimation by Aerial Image Analysis

Kornfeld, Nils and Lücken, Leonhard and Leich, Andreas and Wagner, Peter and Hoffmann, Ragna (2018) Crash Rate Estimation by Aerial Image Analysis. ESAR Expert Symposium on Accident Research, 19.- 20. Apr. 2018, Hannover.

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Abstract

Aerial images potentially contain a wealth of information relevant to the prediction of road safety if they could be thoroughly analyzed in great numbers. Coincident with the widespread availability of satellite and aerial images, machine learning algorithms for image processing and automatic object detection and classification are maturing. This allows the automated processing of huge amounts of image data by artificial neural networks (ANNs) or related machine learning systems - an area in which convolutional neural networks have shown a significant improvement over conventional methods. In the submitted work initial results on the application of machine learning on aerial images are presented. The goal is to determine an estimation of road safety levels. ANNs were trained to predict crash frequencies for road intersections relying merely on aerial images of the intersections. The used data consists of police recorded crashes in the city of Berlin and aerial images provided by the Berlin Senate Department for Urban Development. The performance of the ANN suggests that the line of research is worth further pursuit. For instance, the trained ANN was able to predict the presence of crashes on intersections in a Berlin district excluded from the training process with an accuracy of approximately 74%.

Item URL in elib:https://elib.dlr.de/126338/
Document Type:Conference or Workshop Item (Speech)
Title:Crash Rate Estimation by Aerial Image Analysis
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kornfeld, Nilsnils.kornfeld (at) dlr.deUNSPECIFIED
Lücken, LeonhardLeonhard.Luecken (at) dlr.dehttps://orcid.org/0000-0001-6103-6531
Leich, Andreasandreas.leich (at) dlr.dehttps://orcid.org/0000-0001-5242-2051
Wagner, PeterPeter.Wagner (at) dlr.dehttps://orcid.org/0000-0001-9097-8026
Hoffmann, RagnaRagna.Hoffmann (at) dlr.dehttps://orcid.org/0000-0002-6607-5406
Date:March 2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Crash Rate Prediction, Unfallprognosemodell
Event Title:ESAR Expert Symposium on Accident Research
Event Location:Hannover
Event Type:national Conference
Event Dates:19.- 20. Apr. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - I.MoVe (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Evaluation of Transportation
Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Leich, Dr.-Ing. Andreas
Deposited On:31 Jan 2019 15:44
Last Modified:01 Apr 2020 21:38

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