Hybrid Stochastic Cellular Automata-Driver-Vehicle-Object Simulation Model for Heterogeneous Traffic at Urban Signalized Intersections

2013 ◽  
Vol 27 (3) ◽  
pp. 254-262 ◽  
Author(s):  
Padmakumar Radhakrishnan ◽  
Tom V. Mathew
Keyword(s):  
Cellular Automata ◽  
Simulation Model ◽  
Signalized Intersections ◽  
Heterogeneous Traffic ◽  
Stochastic Cellular Automata

scholarly journals Intrinsic Simulations between Stochastic Cellular Automata

2012 ◽  
Vol 90 ◽  
pp. 208-224 ◽  
Author(s):  
Pablo Arrighi ◽  
Nicolas Schabanel ◽  
Guillaume Theyssier
Keyword(s):  
Cellular Automata ◽  
Stochastic Cellular Automata

A Theoretical Learning Model Combining Stochastic Cellular Automata and Economic Indicators to Simulate Land Use Change

2015 ◽  
Vol 6 (3) ◽  
pp. 1-8 ◽  
Author(s):  
Fatima Ezahra Sfa ◽  
Mohamed Nemiche ◽  
Rafael Pla Lopez
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Original Learning ◽  
Learning Model ◽  
Economic Indicators ◽  
Stochastic Cellular Automata ◽  
Policy Makers ◽  
Territorial Planning ◽  
Model Combining

The study of change in land use has been included in territorial planning to inform spatial planners and policy makers of the possible developments they face in order to optimize future management decisions. In this paper the authors present the core of an original learning model coupling stochastic Cellular Automata and economic indicators to simulate the land use change. This model is an important step in building an “environmental virtual laboratory” to explore, explain and forecast land use change.

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