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Distributional prediction of short-term traffic using neural networks.

, , , and . Eng. Appl. Artif. Intell., (November 2023)

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Revealing the hidden features in traffic prediction via entity embedding., , and . Pers. Ubiquitous Comput., 25 (1): 21-31 (2021)A UWB/INS Trajectory Tracking System Application in a Cycling Safety Study., , , , , and . Sensors, 23 (7): 3629 (April 2023)Deep Reinforcement Learning Based Traffic Signal Control: A Comparative Analysis., , and . ANT/EDI40, volume 220 of Procedia Computer Science, page 275-282. Elsevier, (2023)Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes., , , , , , , , , and 27 other author(s). CoRR, (2022)Reveal the hidden layer via entity embedding in traffic prediction., , and . ANT/EDI40, volume 151 of Procedia Computer Science, page 163-170. Elsevier, (2019)Distributional prediction of short-term traffic using neural networks., , , and . Eng. Appl. Artif. Intell., (November 2023)Applications of brain imaging methods in driving behaviour research., , , , , , , and . CoRR, (2020)Short-term traffic flow prediction in bike-sharing networks., , , and . J. Intell. Transp. Syst., 26 (4): 461-475 (2022)Analyzing the Impact of Autonomous Vehicles on Urban Traffic Flow at the Large Scale Network Using Real-World Data., , , and . ITSC, page 5530-5535. IEEE, (2023)Multi-Agent Reinforcement Learning for Traffic Signal Control: Algorithms and Robustness Analysis., , and . ITSC, page 1-7. IEEE, (2020)