Calibration of the Particle Density in Cellular-Automaton Models for Traffic Flow

TL;DR

This paper proposes a density-dependent cell size calibration in cellular-automaton traffic models, improving the realism of flow-density relationships and aligning simulations more closely with real-world traffic behavior.

Contribution

It introduces a new calibration method for particle density in cellular-automaton models, especially for the asymmetric simple exclusion process, enhancing model accuracy.

Findings

Reproduces realistic flow-density diagrams

Validates the calibration method with simulation results

Improves correspondence between model and real traffic data

Abstract

We introduce density dependence of the cell size in cellular-automaton models for traffic flow, which allows a more precise correspondence between real-world phenomena and what observed in simulation. Also, we give an explicit calibration of the particle density particularly for the asymmetric simple exclusion process with some update rules. We thus find that the present method is valid in that it reproduces a realistic flow-density diagram.