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Model based traffic congestion detection in optical remote sensing imagery

Palubinskas, Gintautas and Kurz, Franz and Reinartz, Peter (2010) Model based traffic congestion detection in optical remote sensing imagery. European Transport Research Review (2), pp. 85-92. Springer. DOI: 10.1007/s12544-010-0028-z ISSN 1867-0717

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Official URL: http://www.springer.com/engineering/mechanical+eng/journal/12544

Abstract

Purpose A new model based approach for the traffic congestion detection in time series of airborne optical digital camera images is proposed. Methods It is based on the estimation of the average vehicle speed on road segments. The method puts various techniques together: the vehicle detection on road segments by change detection between two images with a short time lag, the usage of a priori information such as road data base, vehicle sizes and road parameters and a simple linear traffic model based on the spacing between vehicles. Results The estimated speed profiles from experimental data acquired by an airborne optical sensor - 3K camera system - coincide well with the reference measurements. Conclusions Experimental results show the great potential of the proposed method for the detection of traffic congestion on highways in along-track scenes.

Item URL in elib:https://elib.dlr.de/64325/
Document Type:Article
Title:Model based traffic congestion detection in optical remote sensing imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Palubinskas, GintautasGintautas.Palubinskas (at) dlr.deUNSPECIFIED
Kurz, FranzFranz.Kurz (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:2010
Journal or Publication Title:European Transport Research Review
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1007/s12544-010-0028-z
Page Range:pp. 85-92
Editors:
EditorsEmail
European Conference of Transport Research Institutes, ECTRIUNSPECIFIED
Publisher:Springer
ISSN:1867-0717
Status:Published
Keywords:Optical remote sensing, Image time series, Traffic congestion, Change detection, Traffic model
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 - VABENE (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Palubinskas, Dr.math. Gintautas
Deposited On:14 Jun 2010 12:42
Last Modified:08 Mar 2018 18:09

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