pith. sign in

arxiv: cond-mat/9911311 · v1 · submitted 1999-11-19 · ❄️ cond-mat.stat-mech

Statistical Analysis of Freeway Traffic

classification ❄️ cond-mat.stat-mech
keywords datastatestrafficdiagramsfreewayinsightsvehiclesaggregated
0
0 comments X
read the original 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 $v(\Delta x)$-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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.