Traffic Data and Their Implications for Consistent Traffic Flow Modeling

TL;DR

This paper examines Dutch freeway traffic data to evaluate and improve traffic flow models, focusing on velocity, density, and lane-specific dynamics, confirming compatibility with recent macroscopic models that address past inconsistencies.

Contribution

It provides an empirical analysis of traffic data supporting recent macroscopic models and addresses previous model inconsistencies.

Findings

Data aligns with recent macroscopic traffic models.

Lane-specific and temporal dynamics are characterized.

Supports model calibration and validation efforts.

Abstract

The paper analyzes traffic data of the Dutch freeway A9 with respect to certain aspects which are relevant for traffic flow modeling as well as the calibration of model parameters and functions. Apart from the dynamic velocity distribution, the density-dependence and the temporal evolution of various, partly lane-specific quantities is investigated. The results are well compatible with recent macroscopic traffic flow models which have been derived from the dynamics of driver-vehicle units. These have also solved the inconsistencies, which previous models have been criticized for.