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pro vyhledávání: '"BELL, MICHAEL"'
The rapid advancement of Intelligent Transportation Systems (ITS) presents challenges, particularly with missing data in multi-modal transportation and the complexity of handling diverse sequential tasks within a centralized framework. To address the
Externí odkaz:
http://arxiv.org/abs/2409.05921
Traffic flow prediction, a critical aspect of intelligent transportation systems, has been increasingly popular in the field of artificial intelligence, driven by the availability of extensive traffic data. The current challenges of traffic flow pred
Externí odkaz:
http://arxiv.org/abs/2404.13257
Accurate, and effective traffic forecasting is vital for smart traffic systems, crucial in urban traffic planning and management. Current Spatio-Temporal Transformer models, despite their prediction capabilities, struggle with balancing computational
Externí odkaz:
http://arxiv.org/abs/2403.17753