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Title
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Optimizing urban modeling based on road network and land use/cover changes by using agent based - cellular automata model
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Type
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Presentation
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Keywords
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Cellular Automata, Agent - Base, Traffic Simulation, Real-Time Computing, Traffic Optimizing
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Abstract
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Simulation urban road network is important because it can study models too complicated for analytical or numerical treatment, can be used for experimental studies, can study detailed relations that might be lost in analytical or numerical treatment and can produce attractive visual demonstrations of present and future scenarios. Cellular automata (CA) play an important role in urban modeling and simulation of computationally many aspects of urban development such as traffic and land use/cover models. Recently different CA models have gained considerable importance as a mean of optimizing urban different traffic network strategies. Discrete event and continuous-time simulation of the available CA models in traffic systems is a difficult task due to their discrete and continuous nature. This article introduces a new method for simulation of traffic network, which combines CA and Agent. The Multi-Agent System (MAS) and the Cellular Automata (CA) modeling are two methods – for the traffic micro simulation. Computational time of traffic simulation for the proposed model is considerably lower than the time of simulation based on CA. Thus, the simulation results can be obtained in a much shorter time. The proposed simulation algorithm is suitable for real-time applicant and Erbil’s traffic system.
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Researchers
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Kamran Chapi (Fourth Researcher), Farshad Hakimpour (Third Researcher), Ali Asghar Alesheikh (Second Researcher), Yousef Khajavigodellou (First Researcher)
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