Mobility Model for Contact-Aware Data Offloading Through Train-to-Train Communications in Rail Networks

In this paper, the authors propose a novel mobility model providing train traffic traces essential for train-to-train communication models. As the proposed mobility model works only based on trip timetables and train timetables are currently available in real-time, the produced mobility traces will be also in real-time. Additionally, as no GPS module is used in this method, their proposed model can provide a practical solution when signal from GPS or Assisted GPS is poor or unavailable such as in urban area or inside tunnels. Furthermore, as they used an energy optimization function, the proposed mobility model will provide a guidance trajectory for trains to have an energy-optimized operation. They also develop an algorithm that can determine the specifications of contacts between trains based on the traffic traces obtained from the mobility model. Such specifications includes duration, rate and location of train contacts used for estimation of data exchange capacity between trains through train-to-train communications. The authors validate their proposed model using data collected from Sydney Trains of Australia. The results obtained from their proposed model show over 98 percent accuracy in comparison with the real data collected via a GPS module from Sydney Trains.

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  • English

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  • Accession Number: 01844018
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 25 2022 5:02PM