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Journal ArticleDOI

A cellular automaton model for freeway traffic

Kai Nagel, +1 more
- 01 Dec 1992 - 
- Vol. 2, Iss: 12, pp 2221-2229
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TLDR
A stochastic discrete automaton model is introduced to simulate freeway traffic and shows a transition from laminar traffic flow to start-stop- waves with increasing vehicle density, as is observed in real freeway traffic.
Abstract
We introduce a stochastic discrete automaton model to simulate freeway traffic. Monte-Carlo simulations of the model show a transition from laminar traffic flow to start-stop- waves with increasing vehicle density, as is observed in real freeway traffic. For special cases analytical results can be obtained.

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Journal ArticleDOI

Vehicular traffic flow at an intersection with the possibility of turning

TL;DR: In this paper, the authors developed a Nagel-Schreckenberg cellular automata model for describing a vehicular traffic flow at a single intersection, where a set of traffic lights operating in a fixed-time scheme controlled the traffic flow.
Journal ArticleDOI

Probabilistic Description of Traffic Flow

TL;DR: In this article, a new probabilistic theory based on Markov processes was developed to improve the understanding of traffic flow and its three phases (free flow, synchronized motion, wide moving jams) discovered by Kerner.
Journal ArticleDOI

Traffic jams and ordering far from thermal equilibrium

TL;DR: The recently suggested correspondence between domain dynamics of traffic models and the asymmetric chipping model indicates that jamming in traffic models in which all dynamical rates are non-deterministic takes place as a broad crossover phenomenon, rather than a sharp transition.
Posted Content

Agents for Traffic Simulation

TL;DR: An overview of the state-of-the-art in microscopic traffic modeling and the implications for simulation techniques focuses on the short-time dynamics of car-following models which describe continuous feedback control tasks (acceleration and braking) and models for discrete-choice tasks as a response to the surrounding traffic.
Proceedings ArticleDOI

Energy efficient traffic-based street lighting automation

TL;DR: Across a range of traffic volumes representative of rural roads, simulations indicate that smart dimming can deliver energy savings of 14% to 70%, with savings increasing as traffic density decreases, and virtual metering in the IEC 61499 application is used to quantify energy savings.
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