Design of Railway Accident Analysis System Based on Artificial Intelligence

Since railway traffic has come into people's life, it has been acting as a very important role in people's daily living. The major content of this research is to build a railway accident analysis system based on Artificial Intelligence (aliased as AI) and blockchain technology, which have the function of railway accident reproduction and traffic data analysis, taking the train crash happened on June 29, 2009 in Chenzhou for case study. This research reproduces the environment scenes simulating the accident happened in Chenzhou with the help of MSTS, including the longitude, the latitude, the landform, the buildings, the platforms, the traffic and the track installment of that time, and represents the real situation taking a driver's field of view. Besides, the research also builds a railway traffic data collecting and analyzing system based on C#, with the help of Cheat Engine, Microsoft Access and Visual Studio 2010. The system can automatically track and analyze the traffic data from Microsoft Train Simulator. This reproduction procedure is with great significance for analyzing the real accident in an Artificial Intelligence way, as well as providing a broad prospect for the practical application of blockchain technology.