Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5125238 | Transportation Research Procedia | 2017 | 8 Pages |
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 traï¬c flux or traï¬c 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.