Physica2022,Vol.58514.DOI:10.1016/j.physa.2021.126418

Super-random states in vehicular traffic - Detection & explanation

Krbalek, Milan Seba, Frantisek Krbalkova, Michaela
Physica2022,Vol.58514.DOI:10.1016/j.physa.2021.126418

Super-random states in vehicular traffic - Detection & explanation

Krbalek, Milan 1Seba, Frantisek 2Krbalkova, Michaela2
扫码查看

作者信息

  • 1. Czech Tech Univ
  • 2. Univ Hradec Kralove
  • 折叠

Abstract

This article deals with specific states of traffic flow on a two-lane freeway, in which statistical fluctuations of microscopic quantities (inter-vehicle gaps) are significantly higher than in systems with absolutely random events (Poisson systems). These anomalous states (super-random) are detected in empirical traffic data, specifically in the fast lane at traffic densities up to 25 vehicles per kilometer. The origin of these states is then explained mathematically (using the theory of balance particle systems and tools of random matrix theory), physically (by means of an one-dimensional particle gas subjected to local perturbations caused by overtaking cars) and empirically (using an analogy with phenomena observed in photon counting experiments). In the article we show that overtaking maneuvers, when vehicles from a slow lane are injected into a fast-lane stream of faster moving vehicles, disrupt a local balance in microstructure of fast-lane stream and cause atypical arrangement of vehicular positions, that is very rare, generally. With help of original numerical model we demonstrate that the anomalous states detected are identical to equilibrium states formed in a stochastic particle gas with a potential containing, in addition to a repulsive component, also an attractive component. (C) 2021 Published by Elsevier B.V.

Key words

Vehicular traffic/Super-Poissonian states/Vehicular headway modeling/Statistical rigidity/Vehicular bunching/Random matrix theory/DISPERSION/LIGHT

引用本文复制引用

出版年

2022
Physica

Physica

ISSN:0378-4371
被引量4
参考文献量35
段落导航相关论文