Traffic Forecasting and Decision making of Investment and Construction of Tourism Highway under the Background of Artificial Intelligence


Passenger traffic forecasting and decision-making of investment and construction of the tourism highway under the background of artificial intelligence is studied in this paper. As an important information asset, big data is expected to provide people with comprehensive, accurate, and real-time business insights and decision guidance. The value of big data lies in its decision-making usefulness, and the knowledge contained in it can be discovered through analysis and miming can provide decision support for various practical applications. Forecasting is based on past and present conditions to then make predictive judgments about future development. This paper used the prediction model to construct the framework of decision making. The experimental results have proven their effectiveness.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL