| 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 |
| 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. |
| http://journals.pan.pl/Content/130690/4-4447-Dymora-sk.pdf |
Similar Articles
| ID | Score | Article |
|---|---|---|
45054
|
Jiang, YX; Han, LF; Gao, YF Artificial intelligence-enabled smart city construction(2022)Journal Of Supercomputing, 78, 18 | |
| 42330
|
Bilotta, S; Nesi, P; Paoli, I Real-time System for Short- and Long-Term Prediction of Vehicle Flow(2020) | |
| 40296
|
Culita, J; Caramihai, SI; Dumitrache, I; Moisescu, MA; Sacala, IS An Hybrid Approach for Urban Traffic Prediction and Control in Smart Cities(2020)Sensors, 20, 24 | |
| 38866
|
Wang, H; Cao, J; Xin, FM; Xu, LL; Li, X Smart City: Road Traffic Evaluation Based on Traffic Flow Model(2022) | |
| 41674
|
Tiwari, P The machine learning framework for traffic management in smart cities(2024)Management Of Environmental Quality, 35, 2 | |
| 42710
|
Ruzicka, J; Purkrábková, Z; Korec, V Smart application for traffic excess prediction(2020) |