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Microscopic Randomness and “Fundamental Diagram” in the Traffic Flow Problem

Authors: Heiko Lehmann;

Microscopic Randomness and “Fundamental Diagram” in the Traffic Flow Problem

Abstract

Starting from a continuous follow-the-leader model for individual vehicle motion a stochastic term is added in order to account for the elementary randomness of driving. In a suitably defined stationary state thus an equilibrium distribution of nearest-neighbour distances is spanned up which allows to understand the “fundamental diagram” of macroscopic traffic flow modelling as the ensemble average of the microscopic characteristic function. Estimates for the distribution width and a comparison with simulation results are given.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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