Bus Ridership Prediction and Scenario Analysis through ML and Multi-Agent Simulations
This paper introduces an innovative approach to predicting bus ridership andanalysing transportation scenarios through a fusion of machine learning (ML) techniques and multi-agent simulations. Utilising a comprehensive dataset from an urban bus system, we employ ML models to accurately forecast pass...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ediciones Universidad de Salamanca
2024-12-01
|
| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
| Subjects: | |
| Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31866 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|