engleski

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

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.

Weather conditions, wireless networks, hybrid electric locomotive, mountain rail route, modelling, energy efficiency, transportation safety, advanced transportation technologies

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