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Cellular automata approach to three-phase traffic theory

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TLDR
It is shown that the proposed CA models can be very transparent and still reproduce the two main types of congested patterns as well as their dependence on the flows near an on-ramp, in qualitative agreement with the recently developed continuum version of the three-phase traffic theory.
Abstract
The cellular automata (CA) approach to traffic modelling is extended to allow for spatially homogeneous steady state solutions that cover a two-dimensional region in the flow–density plane. Hence these models fulfil a basic postulate of a three-phase traffic theory proposed by Kerner. This is achieved by a synchronization distance, within which a vehicle always tries to adjust its speed to that of the vehicle in front. In the CA models presented, the modelling of the free and safe speeds, the slow-to-start rules as well as some contributions to noise are based on the ideas of the Nagel–Schreckenberg-type modelling. It is shown that the proposed CA models can be very transparent and still reproduce the two main types of congested patterns (the general pattern and the synchronized flow pattern) as well as their dependence on the flows near an on-ramp, in qualitative agreement with the recently developed continuum version of the three-phase traffic theory (Kerner B S and Klenov S L 2002 J. Phys. A: Math. Gen. 35 L31 ). These features are qualitatively different from those in previously considered CA traffic models. The probability of the breakdown phenomenon (i.e. of the phase transition from free flow to synchronized flow) as function of the flow rate to the on-ramp and of the flow rate on the road upstream of the on-ramp is investigated. The capacity drops at the on-ramp which occur due to the formation of different congested patterns are calculated.

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Journal ArticleDOI

Cellular automata models of road traffic

TL;DR: An elaborate and understandable review of traffic cellular automata (TCA) models, which are a class of computationally efficient microscopic traffic flow models, by means of time–space and phase-space diagrams, and histograms showing the distributions of vehicles’ speeds, space, and time gaps.
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Still Flowing: Approaches to Traffic Flow and Traffic Jam Modeling

TL;DR: This paper focuses on microscopic modeling, i.e., coupled differential equations, cellular automata, and coupled maps, and the phase transition behavior of these models, as far as it is known, is discussed.
Journal ArticleDOI

Three-phase traffic theory and highway capacity

TL;DR: In this article, a probabilistic theory of highway capacity is presented which is based on the three-phase traffic theory and a critical discussion of model results about congested pattern features which have been derived within the fundamental diagram approach to traffic flow theory and modeling is made.
Posted Content

Three-Phase Traffic Theory and Highway Capacity

TL;DR: A probabilistic theory of highway capacity is presented which is based on the three-phase traffic theory and some new spatial–temporal features of the traffic phase “synchronized flow” are considered.
Journal ArticleDOI

Three-phase traffic theory and two-phase models with a fundamental diagram in the light of empirical stylized facts

TL;DR: There are different ways of reproducing the empirical stylized facts of spatiotemporal congestion patterns summarized in this contribution, and it appears possible to overcome the controversy by a more precise definition of the scientific terms and a more careful comparison of models and data.
References
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Journal Article

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