Utilization of Track Condition Information from Remote Wireless Sensor Network in Railways-A Mountainous Rail Track Case Study

Weather conditions can affect train dynamics and wheels adhesion, thus compromising transportation safety. The fifth generation broadband wireless networks, with distributed sensors arrays may provide more accurate estimation of track conditions. This paper proposes the use of track condition data from remote sensors in order to adapt the freight train mission for a mountain railway route driving simulation scenario. The results show this may help with predicting possible delays due to changed conditions en route.

[1]  Aitor Arriola,et al.  5G communications in high speed and metropolitan railways , 2017, 2017 11th European Conference on Antennas and Propagation (EUCAP).

[2]  Akihiro Okazaki,et al.  High-Speed Train Communications Standardization in 3GPP 5G NR , 2018, IEEE Communications Standards Magazine.

[3]  José Manuel Riera,et al.  A survey on future railway radio communications services: challenges and opportunities , 2015, IEEE Communications Magazine.

[4]  O. Polách.  Creep forces in simulations of traction vehicles running on adhesion limit , 2005 .

[5]  V. N. Rangelov.  Gradient modelling with calibrated train performance models , 2012 .

[6]  Fredrik Gustafsson,et al.  Adaptive filtering and change detection , 2000 .

[7]  Michael A. Rossetti,et al.  Analysis of weather events on U.S. railroads , 2007 .

[8]  Damien Trentesaux,et al.  The Autonomous Train , 2018, 2018 13th Annual Conference on System of Systems Engineering (SoSE).

[9]  Davor Zorc.  Internet of Things (IoT) in Industrial engineering education , 2017 .

[10]  Dimitra Simeonidou,et al.  ICT platforms in support of future railway systems , 2018 .

[11]  Tiago M. Fernández-Caramés,et al.  Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways , 2017, Sensors.

[12]  Tomislav Josip Mlinarić,et al.  Assessment of battery-hybrid diesel-electric locomotive fuel savings and emission reduction potentials based on a realistic mountainous rail route , 2019, Energy.

[13]  Mikko Valkama,et al.  Positioning of high-speed trains using 5G new radio synchronization signals , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[14]  Masayuki Matsumoto,et al.  Autonomous decentralized train control technology , 2009, 2009 International Symposium on Autonomous Decentralized Systems.

[15]  Petr Pichlík,et al.  Overview of Slip Control Methods Used in Locomotives , 2014 .