Applications of Computational Learning and IoT in Smart Road Transportation System
(Bog, Hardback, Engelsk)
Beskrivelse
Predicting traffic patterns is done by analyzing the gathered data using machine learning algorithms. To forecast parking availability based on past data, the time of day, and special events, apply machine learning algorithms.
Læsernes anmeldelser (0)
Alle detaljer
| Forlag | Springer International Publishing AG |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 09-05-2025 |
| Første udgivelsesår | 2025 |
| Serie | Springer Tracts on Transportation and Traffic |
| Illustrationer | 39 Illustrations, color; 16 Illustrations, black and white |
| Fagredaktør | Saurav Mallik, Hong Qin, Subrata Nandi, Munshi Yusuf Alam, Arup Roy, Tanvir Habib Sardar |
| Originalsprog | Switzerland |
| Sideantal | 236 |
| Indbinding | Hardback |
| Forlag | Springer International Publishing AG |
| Sideoplysninger | 236 pages, 39 Illustrations, color; 16 Illustrations, black and white |
| Mål | 235 x 155 |
| ISBN-13 / EAN-13 | 9783031876264 |