Improving probabilistic traffic modelling through advanced sampling
conference paper
In traffic models certain presumptions are often made to simplify the complex systems
that rule the world of traffic flow. This is necessary as not every variable can be considered.
Furthermore, it is commonplace that equilibrium states are sought that give a good average,
or rather deterministic, representation of the dynamics of traffic. Such an approach makes
presumptions of traffic demand and supply for a (non-existent) average situation. However
there must be a realisation that traffic is hardly ever ‘average’ [1]. It is especially in the terms
‘average’ and ‘deterministic’ that a realisation must exist that these terms are composed of
extensively varying situations. By considering real stochasticity in these processes, a more
complete picture of the traffic system is gained
that rule the world of traffic flow. This is necessary as not every variable can be considered.
Furthermore, it is commonplace that equilibrium states are sought that give a good average,
or rather deterministic, representation of the dynamics of traffic. Such an approach makes
presumptions of traffic demand and supply for a (non-existent) average situation. However
there must be a realisation that traffic is hardly ever ‘average’ [1]. It is especially in the terms
‘average’ and ‘deterministic’ that a realisation must exist that these terms are composed of
extensively varying situations. By considering real stochasticity in these processes, a more
complete picture of the traffic system is gained
TNO Identifier
489695
Source title
Proceedings LATSIS symposium 2012
Pages
1-5
Files
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