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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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Journal ArticleDOI

Studies of vehicle lane-changing to avoid pedestrians with cellular automata

TL;DR: It is found that in general, the traffic can benefit from vehicle lane-changing to avoid road-crossing pedestrians and the interactions between vehicles and pedestrians are reduced, which results in shorter vehicle decelerating time due to pedestrians and less switches of the driving mode, thus leads to the better energy economy.
Journal ArticleDOI

Effects of maximum relaxation in viscoelastic traffic flow modeling

TL;DR: Numerical results show that there is a wide spectrum of spatial-temporal pattern formation phenomena in traffic system and the effects of maximum relaxation in traffic flow modeling brings about some observable but non-significant effects on traffic flow patterns.
Journal ArticleDOI

Application of adaptive weights to intelligent information systems: An intelligent transportation system as a case study

TL;DR: Simulations demonstrate that adopting this optimal information feedback strategy provides a high efficiency in controlling spatial distribution of traffic patterns when compared with the three other information feedback strategies, i.e., Travel Time Feedback Strategy (TTFS), Mean Velocity Feedback strategy (MVFS) and Congestion Coefficient Feedback Strategies (CCFS).
Book ChapterDOI

An Integrated Model for the Simulation of Pedestrian Crossings

TL;DR: An approach to the modeling of pedestrians and vehicles interaction in the area of a zebra crossing, either signalised or not, employing two existing models devoted to the simulation of the specific pedestrian and vehicular sub-systems and integrating them in a comprehensive agent environment is presented.
Posted Content

Dynamics of traffic jams: order and chaos

TL;DR: In this article, the authors study ergodic properties of a model of a multi-lane traffic flow, considered as a (deterministic) wandering of interacting particles on an infinite lattice.
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