| Issue |
E3S Web Conf.
Volume 471, 2024
XIV International Conference on Transport Infrastructure: Territory Development and Sustainability (TITDS-XIV-2023)
|
|
|---|---|---|
| Article Number | 04024 | |
| Number of page(s) | 13 | |
| Section | Information Technologies, Transportation Science and Technology Synergy | |
| DOI | https://doi.org/10.1051/e3sconf/202447104024 | |
| Published online | 04 January 2024 | |
An approach to automating the daily performance indicators monitoring of a transport company
Irkutsk State Transport University, Faculty of Transport Management and Information Technologies, Irkutsk, 664074, Russia
* Corresponding author: usercom@inbox.ru
The article compares the results of applying some statistical criteria to detect suspicious values (gross outliers) in the daily performance indicators of one of the transport companies in the Russian Federation. The criteria applicable to data samples with a normal distribution law are considered. In this connection, a preliminary test of the hypothesis about the correspondence of the distribution of controlled quantities to this law was carried out. It is shown that identifying gross outliers in the values of the indicators under consideration requires the simultaneous application of several statistical criteria.
© The Authors, published by EDP Sciences, 2023
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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