Statistical Analysis of Freeway Traffic
| dc.creator | Neubert, L. | |
| dc.creator | Santen, L. | |
| dc.creator | Schadschneider, A. | |
| dc.creator | Schreckenberg, M. | |
| dc.date | 1999-11-19 | |
| dc.date.accessioned | 2026-07-07T03:15:12Z | |
| dc.date.available | 2026-07-07T03:15:12Z | |
| dc.description | 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 $v(Δx)$-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. | |
| dc.description | 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) | |
| dc.identifier | https://arxiv.org/abs/cond-mat/9911311 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/9911311 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/29947 | |
| dc.subject | Statistical Mechanics | |
| dc.title | Statistical Analysis of Freeway Traffic | |
| dc.type | text |