Application of a GA-BPNN model with Bayesian updating mechanism for pavement quality index (PQI) prediction

The Pavement Quality Index (PQI) serves as a core metric for characterizing road performance and guiding maintenance decisions. Its predictive models must accommodate the complex data, dynamic operational conditions, and rigorous decision-making requirements inherent in road engineering. While the G...

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Détails bibliographiques

Auteurs principaux:	Hansong Wu, Jinxi Zhang, Yaping Cui, Jiani Guo, Wanting Li
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2026-09-01
Collection:	Transportation Research Interdisciplinary Perspectives
Sujets:	Pavement quality index Backpropagation neural network Genetic algorithm Bayesian updating
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2590198226003209
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