An empirical test for cellular automaton models of traffic flow

Abstract

Based on a detailed microscopic test scenario motivated by recent empirical studies of single-vehicle data, several cellular automaton models for traffic flow are compared. We find three levels of agreement with the empirical data: 1) models that do not reproduce even qualitatively the most important empirical observations, 2) models that are on a macroscopic level in reasonable agreement with the empirics, and 3) models that reproduce the empirical data on a microscopic level as well. Our results are not only relevant for applications, but also shed new light on the relevant interactions in traffic flow.

arXiv comment28 pages, 36 figures, accepted for publication in PRE

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Cited by in corpus (14)

• Cellular Automata Models of Road Traffic
• Understanding widely scattered traffic flows, the capacity drop, platoons, and times-to-collision as effects of variance-driven time gaps
• Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving
• Microscopic features of moving traffic jams
• Criterion for traffic phases in single vehicle data and empirical test of a microscopic three-phase traffic theory
• Shock-dynamics of two-lane driven lattice gases
• The comfortable driving model revisited: Traffic phases and phase transitions
• New Insights into Traffic Dynamics: A Weighted Probabilistic Cellular Automaton Model
• Moment analysis of highway-traffic clearance distribution
• Social dilemma in traffic with heterogeneous drivers
• Generic modes of consensus formation in stochastic language dynamics
• Memory Effects and Scaling Properties of Traffic Flows
• On the reproducibility of spatiotemporal traffic dynamics with microscopic traffic models
• Cellular automata approach to synchronized traffic flow modelling