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Deliverables

Read SIMBAD public deliverables 

Public deliverables

D1.3. Final Project Report

D2.1. Specification of Case Studies

D3.1. Data-Driven Methods for Trajectory Modelling

D4.1. Methodologies and Algorithms for the Selection Representatives Traffic Traffic Samples

D5.1. Active Learning Metamodelling

D6.1. Evaluation of the SIMBAD performance modelling framework and implementation guidelines

D7.2. Combining Simulation Models and Big Data Analytics for ATM  Performance Analysis: Lessons Learnt from the SIMBAD Project and Way Forward

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This project has received funding from the SESAR Joint Undertaking (JU) under grant agreement No 894241. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the SESAR JU members other than the Union. © 2021 SIMBAD Consortium. All rights reserved.

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