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
Link To Document :
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