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A Traffic Object Detection System for Road Traffic Measurement and Management

Dalaff, Carsten and Reulke, Ralf and Kroen, Axel and Ruhé, Martin and Schischmanow, Adrian and Schlotzhauer, Gerald and Tuchscherer, Wolfram and Kahl, Thomas (2003) A Traffic Object Detection System for Road Traffic Measurement and Management. In: Proceedings of Image and Vision Computing New Zealand 2003, pp. 78-83. Institute of Information Sciences and Technology (Massey University). Image and Vision Computing New Zealand 2003 (IVCNZ), 2003-11-25 - 2003-11-27, Palmerston North (Neuseeland). ISBN 0-476-00095-5 (paper version), 0-476-00096-3 (CD version).

Full text not available from this repository.

Official URL: http://sprg.massey.ac.nz/ivcnz/Proceedings/IVCNZ_15.pdf

Abstract

OIS is a new Optical Information System for road traffic observation and management. The complete system architecture from the sonsor for automatic traffic detection up to the traffic light management for a wide area is designed under the requirements of an interlligent transportation system. Particular features of this system are the vision sensors with intergrated computational and real-time capabilities, real-tim algorithms for image processing and a new approach for dynamic traffic light management for a single intersection as well as for a wide area. The developed real-time algorithms for image processing extract traffic data even at night and under bad weather conditions. This approach opens the opportunity to identify and specify each traffic object, its location, its speed and other important object information. Furthermore the algorithms are able to identify accidents, and non-motorized traffic like pedestrians and bicyclists. Combining all these single information the system creates new derivate and consolidated information. This leads to a new and more complete view on the traffic situation of an intersection.Only by this a dynamic and near real-time traffic light management is possible. To optimize a wide area traffic management it is necessary to improve the modelling and forecasting of traffic flow. Therefore the information of the current Origin-Destination (OD) flow is essentially. Taking this into account OIS also includes an approach for anonymous vehicle recognition. This approach is based on single object characteristics, order of objects and forecast information, which will be obtained from intersection to intersection.

Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=2003,
Title:A Traffic Object Detection System for Road Traffic Measurement and Management
Authors:
AuthorsInstitution or Email of Authors
Dalaff, CarstenUNSPECIFIED
Reulke, RalfUNSPECIFIED
Kroen, AxelISSP Consult
Ruhé, MartinUNSPECIFIED
Schischmanow, AdrianUNSPECIFIED
Schlotzhauer, GeraldUNSPECIFIED
Tuchscherer, WolframUNSPECIFIED
Kahl, ThomasASIS GmbH
Date:2003
Journal or Publication Title:Proceedings of Image and Vision Computing New Zealand 2003
Refereed publication:Yes
In ISI Web of Science:No
Page Range:pp. 78-83
Editors:
EditorsEmail
Bailey, Donald G.UNSPECIFIED
Publisher:Institute of Information Sciences and Technology (Massey University)
ISBN:0-476-00095-5 (paper version), 0-476-00096-3 (CD version)
Status:Published
Keywords:Traffic management, Traffic observation, sensor network, cameras, image processing
Event Title:Image and Vision Computing New Zealand 2003 (IVCNZ)
Event Location:Palmerston North (Neuseeland)
Event Type:international Conference
Event Dates:2003-11-25 - 2003-11-27
Organizer:Massey University
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V VR - Verkehrsforschung
DLR - Research theme (Project):UNSPECIFIED
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research
Deposited By: Andrea Dumong
Deposited On:22 Nov 2005
Last Modified:06 Jan 2010 20:25

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