Sep 2026· Advances in computational intelligence and robotics book series· 58 references
Abstract
The advancement of AI, IoT, 6G, and UAV technologies is enabling Intelligent Transportation Systems (ITS) to evolve into connected and autonomous mobility ecosystems. This chapter proposes an integrated framework for developing ITS and discusses how EdgeAI enables low-latency and privacy-aware decision-making by integrating 6G-based VANETs, V2X communication, IoT sensing, and UAV-assisted networks. It describes the different modes of V2X communication and VANET architecture. It also explores key AI techniques, including TinyML, Federated Learning, and Deep Reinforcement Learning, for real-time perception, resource optimization, and secure collaboration. The chapter examines EdgeAI and its critical role in ITS and further discusses several use cases where the proposed framework can be applied. Finally, it highlights the open issues and challenges involved in implementing secure, sustainable, and scalable smart transportation systems.
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.
