| Title |
Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning |
| ID_Doc |
38502 |
| Authors |
Koshtura, D; Bublyk, M; Matseliukh, Y; Dosyn, D; Chyrun, L; Lozynska, O; Karpov, I; Peleshchak, I; Maslak, M; Sachenko, O |
| Title |
Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning |
| Year |
2020 |
| Published |
|
| DOI |
|
| Abstract |
The need to study the demand for bicycle sharing based on regression models of data analysis and prediction of results was investigated. To substantiate possibility of work of the main processes of the information systems, UML diagrams were created. To determine the peaks in demand for bicycles in a certain period of time, it was proposed to use regression models of data analysis. The proposed decision trees were recommended for modeling new datasets in Smart Cities, especially Lviv. |
| Author Keywords |
Content Analysis; Data Set; Machine Learning; Predicting Demand; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000664104800013 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Operations Research & Management Science |
| Research Area |
Computer Science; Operations Research & Management Science |
| PDF |
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