Abstract
In order to improve the accuracy of urban traffic flow information and improve the efficiency of traffic control, this paper studies the application of artificial intelligence technology in urban traffic. This paper mainly introduces the intelligent transportation data acquisition and control system based on artificial intelligence and neural network architecture, and points out the trend of the integration of neural network technology and intelligent transportation. This paper designs an intelligent transportation data fusion method based on neural network, and applies it to real-time acquisition, inductive dynamic control, optimal path planning and so on. In this paper, the application of geographic information system (GIS), various intelligent sensors and electronic tag positioning technology in intelligent transportation system (ITS) is described in detail.
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