Development of a System for Tracking PublicTransport Congestion

Student: Martynenko Maksim

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Infocommunication Technologies and Systems (Bachelor)

Final Grade: 8

Year of Graduation: 2019

Overloaded public transport is a problem of all big cities. In this project we are talking about trains. Most commuter trains already have video cameras and all communications. In this paper, we propose a method for the implementation of computer vision algorithms to analyze the flow of passengers. Most commuter trains already have video cameras and all communications. The layout of the printed node will also be offered, which can be interpreted into the existing system.

Full text (added May 18, 2019)

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