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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

Study of traffic flow at an unsignalized T-shaped intersection by cellular automata model

TL;DR: The research indicates that the cellular automata traffic model used to investigate the traffic flow at an unsignalized T-shaped intersection can be applied to the real traffic analysis and traffic forecast.
Journal ArticleDOI

Microscopic Modeling of Driver Behavior in Uninterrupted Traffic Flow

TL;DR: A comprehensive microscopic model of driver behavior in uninterrupted traffic flow is developed that aims to explain or predict the actions of a driver in a variety of driving scenarios ranging from free flow conditions on wide roads to forced flow conditions in narrow two-way roads.
Journal ArticleDOI

Constructing a fundamental diagram for traffic flow with automated vehicles: Methodology and demonstration

TL;DR: A general methodology that combines both empirical experiments and theoretical models to construct a fundamental diagram (FD) is proposed, i.e., the foundation for traffic flow theory for AV traffic, which revealed that the traditional triangular FD structure remains applicable to describe the traffic flow characteristics of AV traffic.
Proceedings ArticleDOI

Modeling and Predicting Future Trajectories of Moving Objects in a Constrained Network

TL;DR: This paper model the road network and moving objects in a graph of cellular automata (GCA), which makes full use of the constraints of the network and the stochastic behavior of the traffic, to predict future trajectories.
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