Video driven traffic modelling in ParamicsTM

Zhou, Hailing, Creighton, Doug, Lim, Chee Peng, Wei, Lei and Gao, David Yang 2013, Video driven traffic modelling in ParamicsTM, in UKSim 2013 : Proceedings of the 15th International Conference on Computer Modelling and Simulation, IEEE Computer Society, Piscataway, N.J., pp. 525-530.

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Title Video driven traffic modelling in ParamicsTM
Formatted title Video driven traffic modelling in ParamicsTM
Author(s) Zhou, Hailing
Creighton, Doug
Lim, Chee Peng
Wei, Lei
Gao, David Yang
Conference name Computer Modelling and Simulation. International Conference (15th : 2013 : Cambridge, England)
Conference location Cambridge, England
Conference dates 10-12 Apr. 2013
Title of proceedings UKSim 2013 : Proceedings of the 15th International Conference on Computer Modelling and Simulation
Editor(s) [Unknown]
Publication date 2013
Conference series Computer Modelling and Simulation International Conference
Start page 525
End page 530
Total pages 6
Publisher IEEE Computer Society
Place of publication Piscataway, N.J.
Keyword(s) traffic modelling and simulation. video processing
Paramics
computer vision
MATLAB
Summary With urbanization and vehicle availability, there exist many traffic problems including congestion, environmental impact and safety. In order to address these problems, we propose a video driven traffic modelling system in this paper. The system can simulate real-world traffic activities in a computer, based on traffic data recorded in videos. Video processing is employed to estimate metrics such as traffic volumes. These metrics are used to update the traffic system model, which is then simulated using the Paramics™ traffic simulation platform. Video driven traffic modelling has widespread potential application in traffic systems, due to the convenience and reduced costs of model development and maintenance. Experiments are conducted in this paper to demonstrate the effectiveness of the proposed system.
ISBN 9780769549941
Language eng
Field of Research 080110 Simulation and Modelling
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30055240

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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