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Applications of Computational Learning and IoT in Smart Road Transportation System - Springer Tracts on Transportation and Traffic
Applications of Computational Learning and IoT in Smart Road Transportation System - Springer Tracts on Transportation and Traffic
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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 9 de mayo de 2025 |
| ISBN13 | 9783031876264 |
| Editores | Springer International Publishing AG |
| Páginas | 236 |
| Dimensiones | 150 × 220 × 20 mm · 533 g |
| Lengua | Alemán |
| Editor | Alam, Munshi Yusuf |
| Editor | Mallik, Saurav |
| Editor | Nandi, Subrata |
| Editor | Qin, Hong |
| Editor | Roy, Arup |
| Editor | Sardar, Tanvir Habib |