Data driven model for prediction of rail traffic
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The rail system, as a system with high capacity, the least air and water pollution, solvable noise and vibration emission problem and the least space usage, is competitive with other modes of transportation. In addition, European transport policy supports shift from road to rail and waterborne transport. It is expected that changes in rail traffic volume be followed by changes in certain economic parameters. On the other hand, changes in economy influence rail traffic volume. The aim of this paper is creation of the data driven models for prediction of rail traffic volume in different economic contexts, using world development indicators, defined by the World Bank, as input parameters.
Source:Proceedings / XVI Scientific-Expert Conference on Railways - RAILCON 14, October 09-10, 2014, Niš, 2014, 181-184
- Faculty of Mechanical Engineering, Niš