Urban areas face severe traffic congestion, pollution, and economic losses from rising populations and vehicle density. Traditional fixed-timing controls fail under dynamic conditions. IoT-ML integration enables smart city dynamic routing. IoT sensors, GPS, and connected vehicles provide real-time traffic data. ML techniques—deep learning, reinforcement learning, predictive analytics—process this for optimized signals, congestion prediction, and adaptive routing. Related efforts leverage V2X communication, edge computing, and blockchain for secure, scalable data management. Challenges include data privacy, infrastructure costs, and computational demands. Results show reduced travel times, lower emissions, and sustainable mobility, fostering autonomous smart city traffic systems.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
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
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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