Statistical Analysis of Freeway Traffic

TL;DR

This paper provides a detailed statistical analysis of freeway traffic using vehicle and floating-car data, introducing a method for classifying traffic states and revealing insights into vehicle interactions and flow dynamics.

Contribution

It proposes a quantitative classification method for traffic states and introduces new optimal-velocity diagrams based on driver comfort considerations.

Findings

Distinct traffic states identified through data analysis

Characteristic peaks in time-headway distributions

High-flow states observed in fundamental diagrams

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.