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A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction.

, , , , , , , , , and . IEEE Trans. Veh. Technol., 72 (11): 14002-14015 (November 2023)

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Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing., , , , and . CoRR, (2020)Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery., , and . ICCL, volume 13557 of Lecture Notes in Computer Science, page 198-213. Springer, (2022)Investigating Schedule Deviation in Construction Projects through Root Cause Analysis., , and . CENTERIS/ProjMAN/HCist, volume 121 of Procedia Computer Science, page 732-739. Elsevier, (2017)An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios., , , and . ITSC, page 5548-5554. IEEE, (2023)Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction., , , , , , , , , and 2 other author(s). Sensors, 24 (19): 6254 (October 2024)Fast Collision Prediction for Autonomous Vehicles using a Stochastic Dynamics Model., , , , and . ITSC, page 211-216. IEEE, (2021)Approximate Optimum Curbside Utilisation for Pick-Up and Drop-Off (PUDO) and Parking Demands Using Reinforcement Learning., , , , and . ITSC, page 2628-2633. IEEE, (2022)Safety Standards for Autonomous Vehicles: Challenges and Way Forward., , , , , and . ITSC, page 3004-3009. IEEE, (2023)The Competition and Inefficiency in Urban Road Last-Mile Delivery., , , and . AAMAS, page 1473-1481. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Understanding common human driving semantics for autonomous vehicles., , , , , , , , , and 5 other author(s). Patterns, 4 (7): 100730 (July 2023)