@article{ref1,
title="Quantitative analysis of interaction range in vehicular flows",
journal="Transportation research procedia",
year="2017",
author="Krbálek, Milan",
volume="25",
number="",
pages="1268-1275",
abstract="Applying mathematical theory of functional convolutions we quantitatively detect a range of interaction forces inside ensembles of moving vehicles. With help of a certain specifically-calibrated function describing deflections between empirical multi-clearance distributions and distributions derived for Poissonian systems of uncorrelated agents we estimate the number of neighboring ve- hicles whose movements are significantly influenced (in a statistical sense). Furthermore, we demonstrate how the estimated interaction-range varies with traffic flux or traffic density. The obtained results convincingly confirms that vehicular dynamics is definitely not of short-ranged nature but, in contrast, that mutual inter-vehicular interactions exist among more succeeding cars.<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2017.05.146",
url="http://dx.doi.org/10.1016/j.trpro.2017.05.146"
}