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Stochastic Simulation of Traffic Flow

Researchers: Kimmo Kaski and Robin Stinchcombe*
* Oxford University

Recently there has been considerable interest to investigate traffic flow using methods of statistical physics. This is interesting not only from the point of view of getting getting deeper qualitative understanding of the basic processes and principles of vehicular traffic but also because this understanding could be applied to designing a more efficient vehicular traffic system or possibly also a more efficient telecommunication system. The focus of research is through discrete one dimensional - single lane - model and by using mean field type analytical solutions and lattice based simulations to study and get insight of the steady state flow properties, formation of jams, and propagation of jam fronts etc. The variables of the model are the rates of input and output to the left end of the signle lane and from the right end of the lane, respectively, as well as the single or randomly distributed rate of hopping from a lattice site to its neighbour on the right (only). As an extension to this models also a multi-lane systems, in which vehicles can overtake each other, will be studies.


next up previous contents
Next: Temporal Difference Learning Applied Up: Computational Information Technology Previous: Statistical Analysis and Modeling
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