Investigating machine learning for simulating urban transport patterns: A comparison with traditional macro-models
Predicting passenger flow within a city is crucial for intelligent transportation management systems, especially in the context of urban development, post-pandemic policy changes, and infrastructure improvements. Traditional macro models have limitations in accurately capturing the complex structure...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
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| Series: | Multimodal Transportation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772586323000175 |