Artificial Intelligence-Driven Multimodal Route Planning: Addressing Dynamic Unavailability and Disruptions
This paper introduces an innovative methodology for route prediction in multimodal transport networks (MTNs) utilizing Artificial Intelligence (AI). While LSTM is a well-established technique for sequence prediction, our approach uniquely leverages Monte Carlo simulations to generate a diverse and c...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10753574/ |
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