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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
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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Posted Content

Modeling self-organizing traffic lights with elementary cellular automata

TL;DR: The proposed model is extended to city traffic with cellular automata coupled at intersections using only rules 184, 252, and 136 and is used to compare two methods for coordinating traffic lights: a green-wave method that tries to optimize phases according to expected flows and a self-organizing method that adapts to the current traffic conditions.
Journal ArticleDOI

The analogies of highway and computer network traffic

TL;DR: This study compares the characteristics of highway and computer network traffic in a simple topology to find out to which degree these systems can be regarded as analogous so that powerful tools developed for the description of highway traffic, such as cellular automata models, could be applied for the case of information packet flows.
Journal ArticleDOI

Cellular automata model for urban road traffic flow considering pedestrian crossing street

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Journal ArticleDOI

Travel time estimation oriented freeway sensor placement problem considering sensor failure

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Reconsidering the Safety in Numbers Effect for Vulnerable Road Users: An Application of Agent-Based Modeling

TL;DR: It is demonstrated that the SiN effect can be reproduced in a virtual environment, closely approximating the exponential relationships between cycling numbers and the relative risk of collision as shown in observational studies.
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