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Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications Guest Editorial.

, , , , , , and . IEEE Intell. Transp. Syst. Mag., 12 (4): 6-9 (2020)

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Modeling freeway travel speed across lanes: A vector autoregressive approach., , and . ITSC, page 569-574. IEEE, (2010)Modeling the Effects of Weather and Traffic on the Risk of Secondary Incidents., , and . J. Intell. Transp. Syst., 16 (3): 109-117 (2012)From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability., , , and . CoRR, (2020)Perceived socio-economic impacts of cooperative Intelligent Transportation Systems: A case study of Greek urban road networks., , and . MT-ITS, page 733-737. IEEE, (2017)Identifying spatio-temporal patterns of bus bunching in urban networks., , , and . J. Intell. Transp. Syst., 24 (4): 365-382 (2020)Total Cost of Ownership for Automated and Electric Drive Vehicles., , , and . VEHITS, page 34-43. SCITEPRESS, (2021)Integrated Signal and Bus Lane Control: An Intersection-Level Approach., , and . ITSC, page 4996-5001. IEEE, (2023)Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment., , , , , , , and . ITSC, page 1-6. IEEE, (2020)Dilated LSTM Networks for Short-Term Traffic Forecasting using Network-Wide Vehicle Trajectory Data., , and . ITSC, page 1-6. IEEE, (2020)A Causal Deep Learning Framework for Traffic Forecasting., , , and . ITSC, page 5047-5053. IEEE, (2023)