MATEC Web Conf.
Volume 292, 201923rd International Conference on Circuits, Systems, Communications and Computers (CSCC 2019)
|Number of page(s)||7|
|Published online||24 September 2019|
Enhanced public transport management employing AI and anonymous data collection
University Politehnica of Bucharest, Transports Faculty, TET Dept., 313 Splaiul Indepentenței, Bucharest, Romania
* Corresponding author: email@example.com
The paper proposes a simple, economic and expandable solution for enhancing the data collection process used in public transport and transport demand management. A non-intrusive and anonymous method is employed to collect an estimative number of passengers in vehicles and public transport stops, along with other, relevant data. Machine learning and specific algorithms are used to improve the data collection process. No specific infrastructure equipment is required.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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