Danijel Pavković
Associate Professor
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture

Mihael Cipek
Assistant Professor
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture

Zdenko Kljaić
Ericsson-Nikola Tesla d.d.

Tomislav Josip Mlinarić
Full Professor
University of Zagreb, Faculty of Transportation Sciences

A fuzzy logic-based classifier for railway track condition estimation and tractive effort conditioning using data from remote sensors

Logistics and Intralogistics Systems

This paper presents the use of track condition data for predictive traction control of a diesel-electric locomotive-driven freight train using the data collected from the virtual remote wireless sensor network within a simulation model comprising wheel vs. track friction coefficient dependent on ambient temperature and relative humidity. The simulation model also includes the point-mass model of freight train longitudinal motion dynamics and the model of real-time information collection about railway track conditions based on a narrow-band wireless remote sensor network and its exchange with the virtual train driver. Simulations are carried out to assess the usage of remote wireless sensor data to avoid freight train slippage events through velocity target adjustment using track condition estimation, thus improving the quality of traction control and improving transportation safety.

Host city and venue - Belgrade

Belgrade is the capital and largest city of Serbia and a city of very tumultuous history. Belgrade was the capital of Yugoslavia from 1918 to 1991. It is located at the confluence of the Sava and Danube rivers, where the Pannonian Plain meets the Balkans. It is one of the oldest cities in Europe and since ancient times it has been an important traffic focal point, an intersection of the roads of Eastern and Western Europe. Read more...

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