Sep 2026· Advances in computational intelligence and robotics book series· 21 references
Air Traffic Management and Optimization
Abstract
Cloud-centric Air Traffic Management architectures are poorly suited to Urban Air Mobility, where dense, three-dimensional flight paths require conflict-resolution decisions within tens of milliseconds. This chapter proposes a four-layer, edge-native reference architecture combining Deep Reinforcement Learning for adaptive route optimization, Federated Learning for privacy-preserving collaboration across operators, TinyML for onboard inference under strict power budgets, and 6G-enabled Space-Air-Ground Integrated Networks for multi-tier connectivity. Each layer is specified in terms of its inputs, algorithmic choices, and hardware placement, and the design rationale linking the architecture to the latency, privacy, and energy constraints of urban airspace is set out in full. The chapter further defines a complete evaluation methodology by which the architecture should be validated. The contribution is architectural rather than empirical: the framework is offered as a design and evaluation foundation, not a validated system.
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.
Carmine Giardino, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 175 citations· ⚡19
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
It is found that roles of MVPs in startups were not fully aware by entrepreneurs, and entrepreneurs should consider a systematic approach to fully explore the value of MVP, as a multiple facet product (MFP).
Anh Nguyen-Duc, P. Abrahamsson· International Conference on...· 93 citations· ⚡9
It is found that what perceived as biggest challenges by software startups do vary across different life cycle stages, even though its significance decreases when the learning focuses of the startups move from problem to solution and their products mature.
Xiaofeng Wang, Henry Edison, Sohaib Shahid Bajwa et al.· International Conference on...· 62 citations· ⚡6
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
