DocumentCode
3086337
Title
On Discovering Road Traffic Information Using Virtual Reality Simulations
Author
Ayres, Gareth ; Mehmood, Rashid
Author_Institution
Sch. of Eng., Civil & Comput. Eng. Centre, Swansea Univ., Swansea
fYear
2009
fDate
25-27 March 2009
Firstpage
411
Lastpage
416
Abstract
Transport systems play critical role in modern day economies and are prime example of highly dynamic complex systems. Current traffic monitoring systems do not provide timely and granular information which could sufficiently meet system analysis requirements. Simulation augmented with virtual reality (VR) has emerged as an important methodology to model and analyze transport systems. This paper-reports our ongoing work on developing an open source road traffic VR simulator based on microscopic and car-following models, designed using Java Monkey Engine. Subsequent to a brief literature review on traffic simulations, we give a description of the simulator design, its functionality, and the driver behaviour models used in the simulator. We then simulate few interesting traffic scenarios and analyse traffic flow,speed, occupancy and other results produced by the simulator. Finally, we conclude and outline the future work.
Keywords
Java; automobiles; road traffic; traffic engineering computing; transportation; virtual reality; Java Monkey Engine; car-following model; driver behaviour model; dynamic complex system; microscopic model; open-source road traffic VR simulator; road traffic information discovery; road transportation system; system analysis requirements; traffic monitoring system; virtual reality simulation; Analytical models; Computational modeling; Computer simulation; Computerized monitoring; Engines; Java; Microscopy; Roads; Traffic control; Virtual reality; Road Traffic; Simulation; Virtual Reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4244-3771-9
Electronic_ISBN
978-0-7695-3593-7
Type
conf
DOI
10.1109/UKSIM.2009.14
Filename
4809800
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