Automated analysis and detection of optimal number of buses on the route depending on hours and type of day
| dc.citation.epage | 148 | |
| dc.citation.spage | 145 | |
| dc.contributor.author | Sarakhman Khrystyna | |
| dc.date.accessioned | 2022-11-08T09:44:32Z | |
| dc.date.available | 2022-11-08T09:44:32Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Transportation system always is the one of top-hot topics to discuss in Ukraine, especially in big cities. The relevance of the topic can be explained by huge arguments between bus drivers, population and government. The problem is discrepancy between the number of buses and the number of passengers and it depends on which part of day it is. Research of the topic involves Queueing Theory, Operations research, Statistical analysis and also methods of Machine Learning. | |
| dc.identifier.citation | Sarakhman K. Automated analysis and detection of optimal number of buses on the route depending on hours and type of day / Khrystyna Sarakhman // Computational Linguistics and Intelligent Systems. – Lviv, 2020. – Volume 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine, June 23–24, 2020. – P. 145–148. – URL: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf (дата звернення: 08.11.2022). – Bibliography: 10 titles. | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/57052 | |
| dc.language.iso | en | |
| dc.publisher | онлайн | |
| dc.subject | queueing theory, queueing system, machine learning, transportation system | |
| dc.title | Automated analysis and detection of optimal number of buses on the route depending on hours and type of day | |
| dc.type | Conference Paper |