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pro vyhledávání: '"Rahman Rezaur"'
Traffic prediction during hurricane evacuation is essential for optimizing the use of transportation infrastructures. It can reduce evacuation time by providing information on future congestion in advance. However, evacuation traffic prediction can b
Externí odkaz:
http://arxiv.org/abs/2311.09498
Autor:
Rahman, Rezaur, Hasan, Samiul
Proactive evacuation traffic management largely depends on real-time monitoring and prediction of traffic flow at a high spatiotemporal resolution. However, evacuation traffic prediction is challenging due to the uncertainties caused by sudden change
Externí odkaz:
http://arxiv.org/abs/2202.12505
Autor:
Rahman, Rezaur, Hasan, Samiul
We present a novel data-driven approach of learning traffic flow patterns of a transportation network given that many instances of origin to destination (OD) travel demand and link flows of the network are available. Instead of estimating traffic flo
Externí odkaz:
http://arxiv.org/abs/2202.10508