Traffic models are used to support traffic engineers with the optimisation task by predicting the effects of ITS measures before applying them to the real network. Simulation of traffic networks require a whole suite of applications, from data gathering, cleaning and fusion, over origin/destination (OD) estimation and prediction, to the simulation itself, including route choice, driving behaviour and travel behaviour. Thus, simulation is based on several methods and models developed in several disciplines like system control, mathematics, human behaviour, and vehicle dynamics. To improve existing methods or to develop new methods for traffic management, it is essential to be able to test algorithms in a stable environment that allows access to necessary input (e.g. road network description, traffic measurements, incident reports…), and provides tools for assessment and evaluation. This paper introduces OpenTraffic, an open source platform for traffic simulation allowing for tailor made simulation applications that allows researchers to develop new algorithms in such a stable environment.
[1]
Marc Miska,et al.
Driving and traveller behavior studies using 3D Internet
,
2010,
13th International IEEE Conference on Intelligent Transportation Systems.
[2]
Marc Miska,et al.
OpenEnergySim: a 3D internet based experimental framework for integrating traffic simulation and multi-user immersive driving
,
2011,
SimuTools.
[3]
Marc Miska,et al.
Microscopic simulation for virtual worlds with self-driving avatars
,
2010,
13th International IEEE Conference on Intelligent Transportation Systems.
[4]
Helmut Prendinger,et al.
OpenEnergySim: Conducting behavioral studies in virtual worlds for sustainable transportation
,
2011,
2011 IEEE Forum on Integrated and Sustainable Transportation Systems.