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
TY - CONF
AU - Lazarević, Luka
AU - Kovačević, Miloš
AU - Popović, Zdenka
PY - 2014
UR - https://grafar.grf.bg.ac.rs/handle/123456789/1171
AB - 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.
PB - Faculty of Mechanical Engineering, Niš
C3 - Proceedings / XVI Scientific-Expert Conference on Railways - RAILCON 14, October 09-10, 2014, Niš
T1 - Data driven model for prediction of rail traffic
EP - 184
SP - 181
UR - https://hdl.handle.net/21.15107/rcub_grafar_1171
ER -
@conference{
author = "Lazarević, Luka and Kovačević, Miloš and Popović, Zdenka",
year = "2014",
abstract = "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.",
publisher = "Faculty of Mechanical Engineering, Niš",
journal = "Proceedings / XVI Scientific-Expert Conference on Railways - RAILCON 14, October 09-10, 2014, Niš",
title = "Data driven model for prediction of rail traffic",
pages = "184-181",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1171"
}
Lazarević, L., Kovačević, M.,& Popović, Z.. (2014). Data driven model for prediction of rail traffic. in Proceedings / XVI Scientific-Expert Conference on Railways - RAILCON 14, October 09-10, 2014, Niš
Faculty of Mechanical Engineering, Niš., 181-184.
https://hdl.handle.net/21.15107/rcub_grafar_1171
Lazarević L, Kovačević M, Popović Z. Data driven model for prediction of rail traffic. in Proceedings / XVI Scientific-Expert Conference on Railways - RAILCON 14, October 09-10, 2014, Niš. 2014;:181-184.
https://hdl.handle.net/21.15107/rcub_grafar_1171 .
Lazarević, Luka, Kovačević, Miloš, Popović, Zdenka, "Data driven model for prediction of rail traffic" in Proceedings / XVI Scientific-Expert Conference on Railways - RAILCON 14, October 09-10, 2014, Niš (2014):181-184,
https://hdl.handle.net/21.15107/rcub_grafar_1171 .
