Statistical Analysis of Freeway Traffic
Abstract
Single-vehicle data of freeway traffic as well as selected Floating-Car (FC) data are analyzed in great detail. Traffic states are distinguished by means of aggregated data. We propose a method for a quantitative classification of these states. The data of individual vehicles allows for insights into the interaction of vehicles. The time-headway distribution reveals a characteristic structure dominated by peaks and controlled by the underlying traffic states. The tendency to reach a pleasant level of ``driving comfort'' gives rise to new -diagrams, known as Optimal-Velocity (OV) curves. The insights found at locally fixed detectors can be confirmed by FC data. In fundamental diagrams derived from local measurements interesting high-flow states can be observed.
Keywords
Cite
@article{arxiv.cond-mat/9911311,
title = {Statistical Analysis of Freeway Traffic},
author = {L. Neubert and L. Santen and A. Schadschneider and M. Schreckenberg},
journal= {arXiv preprint arXiv:cond-mat/9911311},
year = {2007}
}
Comments
8 pages, 8 figures, uses Springer Macros 'lncse', to appear in "Traffic and Granular Flow '99: Social, Traffic, and Granular Dynamics" edited by D. Helbing, H. J. Herrmann, M. Schreckenberg, and D. E. Wolf (Springer, Berlin)