This paper discusses Dynamic Traffic Cellular Automata (DTCA) model. It integrates acceleration, deceleration, and reaction probability functions. The effects of these probability functions on the traffic flow has been explained and shown that they have a major impact on the prediction of traffic flow. This mathematical approach has been verified by simulations
peer reviewedIn this paper we address the problem of uncoor- dinated highway traffic. We first ident...
A cellular automata model is proposed to simulate microscopic traffic flow. In this type of models, ...
The traffic flow at intersections is generally chaotic, and signalization is a control measure to re...
Highway congestions can cause considerable impact on loss of time and delays displacement. This arti...
Due to steady increase in traffic density on roads, the traffic phe-nomena become non-linear and com...
In this paper, we explore the usefulness of cellular automata to traffic flow modeling. We extend so...
We present results relative to a simple cellular automata model without periodic boundary condition...
Indian cities are seen with predominantly mixed traffic plying on the streets. Modeling the mixed tr...
Dynamic Traffic Cellular Automata (DTCA) method has been used to develop a mathematical model of veh...
Simple models for particles hopping on a grid (cellular automata) are used to simulate (single lane)...
Recently, traffic problems have attracted considerable attention Numerical simulations, hydrodynamic...
A recent Cellular Automaton model (CA) with variable anticipation to simulate microscopic traffic fl...
A one-dimensional cellular automaton traffic flow model, which considers the deceleration in advance...
A Cellular Automaton is a extremely simplified program for the simulation of complex transportation ...
Abstract: New “slow-to-start” mathematical model of traffic flows based on cellular automa...
peer reviewedIn this paper we address the problem of uncoor- dinated highway traffic. We first ident...
A cellular automata model is proposed to simulate microscopic traffic flow. In this type of models, ...
The traffic flow at intersections is generally chaotic, and signalization is a control measure to re...
Highway congestions can cause considerable impact on loss of time and delays displacement. This arti...
Due to steady increase in traffic density on roads, the traffic phe-nomena become non-linear and com...
In this paper, we explore the usefulness of cellular automata to traffic flow modeling. We extend so...
We present results relative to a simple cellular automata model without periodic boundary condition...
Indian cities are seen with predominantly mixed traffic plying on the streets. Modeling the mixed tr...
Dynamic Traffic Cellular Automata (DTCA) method has been used to develop a mathematical model of veh...
Simple models for particles hopping on a grid (cellular automata) are used to simulate (single lane)...
Recently, traffic problems have attracted considerable attention Numerical simulations, hydrodynamic...
A recent Cellular Automaton model (CA) with variable anticipation to simulate microscopic traffic fl...
A one-dimensional cellular automaton traffic flow model, which considers the deceleration in advance...
A Cellular Automaton is a extremely simplified program for the simulation of complex transportation ...
Abstract: New “slow-to-start” mathematical model of traffic flows based on cellular automa...
peer reviewedIn this paper we address the problem of uncoor- dinated highway traffic. We first ident...
A cellular automata model is proposed to simulate microscopic traffic flow. In this type of models, ...
The traffic flow at intersections is generally chaotic, and signalization is a control measure to re...
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