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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

A stopped time dependent randomization cellular automata model for traffic flow controlled by traffic light

TL;DR: A new model is presented that can adjust the cycle time of the traffic lights to enhance the road capacity and explain the dependence of saturated current on cycle time and make the outlook of the future work.
Journal ArticleDOI

Modeling the Imperfect Driver: Incorporating Human Factors in a Microscopic Traffic Model

TL;DR: The enhanced human driver model (EHDM) is presented, a time-continuous microscopic car-following model, which considers numerous characteristics attributable to the human driver and extends the HDM by adding variable, situation-dependent reaction times, different types of driver distraction, and driving errors.
Journal ArticleDOI

A new stochastic cellular automata model for traffic flow simulation with drivers’ behavior prediction

TL;DR: A novel, flexible and robust traffic flow cellular automata model that uses stochastic rules for both situations, using the Probability Density Function of the Beta Distribution to model three drivers’ behavior, adjusting different parameters of theBeta Distribution for each one.
Journal ArticleDOI

Combining Bus Evacuation with Location Decisions: A Branch-and-price Approach

TL;DR: This work demonstrates that although the computational complexity of the model increases compared to solving the subproblems individually, the model is still tractable and finds a good feasible solution much faster than commercial general integer programming solvers.
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An improved lattice hydrodynamic model accounting for the effect of “backward looking” and flow integral

TL;DR: In this paper, an improved lattice hydrodynamic model has been developed to investigate the effect of backward looking and flow integral upon traffic flow, and the stability condition is obtained by the use of linear stability analysis.
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