AbstractWe propose a new stochastic traffic flow model for highways (freeways), which is a hybrid between the classical cellular automata and the other microscopic traffic models, using continuous cellular automata. We combine the computational efficiency of cellular automata models with the accuracy of the microscopic models by introducing continuity in space. This continuity allows us to embed a multi-agent system based on fuzzy reasoning to simulate different driver-vehicle behaviours. The experimental results show that our model is able to reproduce the typical traffic flow phenomena with a variety of effects due to the heterogeneity within traffic stream
The paper introduces a self-organizing traffic signal system for an urban road network. In the prese...
The paper deals with the mathematical modeling of traffic flows on urban road networks using microsc...
In this paper, we explore the usefulness of cellular automata to traffic flow modeling. We extend so...
AbstractWe propose a new stochastic traffic flow model for highways (freeways), which is a hybrid be...
A new type of probabilistic cellular automaton for the physical description of single and multilane ...
The traffic flow at intersections is generally chaotic, and signalization is a control measure to re...
At signalized intersections, the decision‐making process of each individual driver is a very complex...
We introduce a stochastic discrete automaton model to freeway traffic. Monte-Carlo simulations of th...
Recently, traffic problems have attracted considerable attention Numerical simulations, hydrodynamic...
A cellular automata model is proposed to simulate microscopic traffic flow. In this type of models, ...
This article is aimed at the description of traffic simulation architecture based on a multi-agent s...
A Cellular Automaton is a extremely simplified program for the simulation of complex transportation ...
Based on the existing safe distance cellular automata model, an improved cellular automata model bas...
Due to steady increase in traffic density on roads, the traffic phe-nomena become non-linear and com...
Simple models for particles hopping on a grid (cellular automata) are used to simulate (single lane)...
The paper introduces a self-organizing traffic signal system for an urban road network. In the prese...
The paper deals with the mathematical modeling of traffic flows on urban road networks using microsc...
In this paper, we explore the usefulness of cellular automata to traffic flow modeling. We extend so...
AbstractWe propose a new stochastic traffic flow model for highways (freeways), which is a hybrid be...
A new type of probabilistic cellular automaton for the physical description of single and multilane ...
The traffic flow at intersections is generally chaotic, and signalization is a control measure to re...
At signalized intersections, the decision‐making process of each individual driver is a very complex...
We introduce a stochastic discrete automaton model to freeway traffic. Monte-Carlo simulations of th...
Recently, traffic problems have attracted considerable attention Numerical simulations, hydrodynamic...
A cellular automata model is proposed to simulate microscopic traffic flow. In this type of models, ...
This article is aimed at the description of traffic simulation architecture based on a multi-agent s...
A Cellular Automaton is a extremely simplified program for the simulation of complex transportation ...
Based on the existing safe distance cellular automata model, an improved cellular automata model bas...
Due to steady increase in traffic density on roads, the traffic phe-nomena become non-linear and com...
Simple models for particles hopping on a grid (cellular automata) are used to simulate (single lane)...
The paper introduces a self-organizing traffic signal system for an urban road network. In the prese...
The paper deals with the mathematical modeling of traffic flows on urban road networks using microsc...
In this paper, we explore the usefulness of cellular automata to traffic flow modeling. We extend so...