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From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability.

, , , and . CoRR, (2020)

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From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability., , , and . CoRR, (2020)A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability., , , , and . ITSC, page 1922-1928. IEEE, (2019)On the Potential of Randomization-based Neural Networks for Driving Behavior Classification., , and . ITSC, page 2991-2997. IEEE, (2022)Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis., , and . IJCNN, page 1-8. IEEE, (2021)Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria., , , , and . CEC, page 480-487. IEEE, (2017)Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks., , , and . ICHSA, volume 514 of Advances in Intelligent Systems and Computing, page 91-100. Springer, (2017)Isochrone Overlapping: A Novel Approach to Mobility and Infrastructure Planning., , , and . ITSC, page 6199-6205. IEEE, (2023)Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment., , , , , , , and . CoRR, (2020)Deep Learning for Road Traffic Forecasting: Does it Make a Difference?, , and . CoRR, (2020)Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles., , , , and . IV, page 1-8. IEEE, (2023)