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Assessment of Railway Train Energy Efficiency and Safety Using Real-time Track Condition Information

Original scientific paper

Journal of Sustainable Development of Energy, Water and Environment Systems
Volume 9, Issue 2, 1080352
DOI: http://dx.doi.org/10.13044/j.sdewes.d8.0352
Zdenko Kljaić1, Mihael Cipek2 , Danijel Pavković2, Tomislav J. Mlinarić3, 4
1 Ericsson Nikola Tesla d.d., Krapinska 45, 10000 Zagreb, Croatia
2 Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, Croatia
3 Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia
4

Abstract

This paper presents the use of track condition data from the virtual remote wireless sensor network within a simulation model of a battery-hybrid diesel-electric locomotive-driven freight train for a realistic mountain railway route simulation scenario. Simulation model includes the point-mass model of freight train longitudinal motion dynamics subject to wheel-to-track adhesion and head wind variations, the model of hybrid diesel-electric locomotive energy efficiency, and the model of real-time information provide to the virtual train driver about railway track conditions based on a narrow-band wireless remote sensor network. Simulation results are used to assess the possible benefits remote wireless sensor data for freight train energy-optimal control and to increase the transportation safety, including prediction of possible delays due to changed weather conditions en route.

Keywords: Weather conditions, Wireless networks, Hybrid electric locomotive, Mountain rail route, Modelling, Energy efficiency, Transportation safety, Advanced transportation technologies.

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