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Traffic System Modeling Method Built-in Machine Learning using Traffic Big data
Traffic System Modeling Method Built-in Machine Learning using Traffic Big data
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机译：交通大数据交通系统建模方法内置机器学习
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摘要
The present invention relates to a traffic system modeling method using a cell automata embedded with traffic big data machine learning, and calculates parameter values verified using machine learning from traffic big data acquired in an actual traffic system. The purpose is to apply it to the model. SUMMARY OF THE INVENTION An object of the present invention is to provide a system modeling method for applying a machine learning result for traffic big data obtained by operating and observing a traffic system to a hypothetical model based on a cell automata to complete a simulation model for a traffic system. Creating a cellular automata-based hypothetical model of the transportation system by acquiring the available information related to the transportation system; Deriving the learning result information necessary for the hypothetical model using the machine learning algorithm from the traffic big data actually acquired in the transportation system to the functional blocks provided by the hypothetical model; And a process of completing a simulation model for the traffic system by applying the traffic information learned and verified through a machine learning process to a hypothetical model.
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