English

Traffic Data and Their Implications for Consistent Traffic Flow Modeling

Statistical Mechanics 2007-05-23 v1

Abstract

The paper analyzes traffic data of the Dutch freeway A9 with respect to certain aspects which are relevant for traffic flow modeling as well as the calibration of model parameters and functions. Apart from the dynamic velocity distribution, the density-dependence and the temporal evolution of various, partly lane-specific quantities is investigated. The results are well compatible with recent macroscopic traffic flow models which have been derived from the dynamics of driver-vehicle units. These have also solved the inconsistencies, which previous models have been criticized for.

Keywords

Cite

@article{arxiv.cond-mat/9806221,
  title  = {Traffic Data and Their Implications for Consistent Traffic Flow Modeling},
  author = {Dirk Helbing},
  journal= {arXiv preprint arXiv:cond-mat/9806221},
  year   = {2007}
}

Comments

For related work see http://www.theo2.physik.uni-stuttgart.de/helbing.html