| Title |
Examining the possibility of short-term prediction of traffic volume in smart city control systems with the use of regression models |
| ID_Doc |
36999 |
| Authors |
Dymora, P; Mazurek, M; Jucha, M |
| Title |
Examining the possibility of short-term prediction of traffic volume in smart city control systems with the use of regression models |
| Year |
2024 |
| Published |
International Journal Of Electronics And Telecommunications, 70.0, 1 |
| DOI |
10.24425/ijet.2023.147711 |
| Abstract |
This article deals with issues related to the optimization of traffic management in modern cities, the so-called Smart City. In particular, the article presents the process of evolution of the traffic flow prediction model at a selected crossroads in a selected city in Poland - the city of Rzeszow. Rzeszow is an example of a smart city equipped with an extensive system of real -time data collection and processing from multiple road points in the city. The research was aimed at a detailed analysis of the feasibility and degree of fit of different variants of the regression model: linear, polynomial, trigonometric, polynomial-trigonometric, and regression -based Random Forest algorithm. Several studies were carried out evaluating different generations of models, in particular, an analysis was carried out based on which the superiority of the trigonometric model was demonstrated. This model had the best fit and the lowest error rate, which could be a good conclusion for widespread use and implementation in Smart City supervisory systems. |
| Author Keywords |
Smart City; traffic flow; prediction; regression; polynomial-trigonometric model; trigonometric model; Random Forest model |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001189929400006 |
| WoS Category |
Telecommunications |
| Research Area |
Telecommunications |
| PDF |
http://journals.pan.pl/Content/130690/4-4447-Dymora-sk.pdf
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