Intelligent mobile information system for underground

Authors

  • O. I. Chumachenko National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”
  • I. V. Roshinsky National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”

DOI:

https://doi.org/10.18372/1990-5548.51.11699

Keywords:

Navigation, mobile devices, subway, machine learning, artificial neural networks

Abstract

Ways to improve ease of subway passengers is considered. Environmental parameters forprediction problems are studied. Choice of machine learning methods is made. The accuracy of theprediction is estimated

Author Biographies

O. I. Chumachenko, National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”

Candidate of engineering. Associate Professor. Technical Cybernetic Department

I. V. Roshinsky, National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”

Student.Technical Cybernetic Department

References

V. Megha. Using Smartphone-based Accelerometer to Detect Travel by Metro Train. Indraprastha Institute of Information Technology, 1972, 34 p.

Neural networks: full course, 2nd edition: Trans. from English, 2006, 1104 p.

E. Borisov. On the methods of training multilayer neural networks of direct propagation. Part1. General Provisions [Electronic resourse] – Electronic data.– Mode of access: http://mechanoid.kiev.ua

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Issue

Vol. 1 No. 51 (2017)

Section

TRANSPORT SYSTEMS

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