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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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Citations
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Journal ArticleDOI

Stabilization effect of multiple drivers’ desired velocities in car-following theory

TL;DR: In this article, a car-following model with consideration of multiple drives' desired velocities is proposed to reveal the influence of driver's individual behavior on traffic flow more accurately.
Journal ArticleDOI

Car accidents determined by stopped cars and traffic flow

TL;DR: The product of traffic flow and the fraction of stopped cars is proposed to determine the probability Pac for car accidents in the Fukui–Ishibashi model by analysing the necessary conditions of the occurrence of car accidents.
Journal ArticleDOI

Clustering of Cars in Cellular Automaton Model of Freeway Traffic

TL;DR: Using computer simulation, it is found that clustering (or aggregation) of cars occurs in the CA model, and it is shown that the cumulative cluster-size distribution N s is not a power-law type but an exponential function N s.
Journal ArticleDOI

Growing Artificial Transportation Systems: A Rule-Based Iterative Design Process

TL;DR: The ability of ATS to generate traffic phenomena from simple consensus rules and the possibility of designing a growing ATS with readily available multiagent tools is demonstrated.
Journal ArticleDOI

Cellular Automata Simulations of Traffic: A Model for the City of Geneva

TL;DR: A micro-simulation based on a simple cellular automata model to analyze and describe the traffic of cars in the city of Geneva, and its fluctuation of various routes, as a function of the departure time is proposed.
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