Urban road collapse risk assessment based on the extended xLSTM Network

Urban road collapse risk assessment based on the extended xLSTM Network

Rapid urbanization has substantially increased the complexity of urban underground spaces. This complexity leads to frequent road collapse incidents that pose significant threats to the safety and property of urban residents. Therefore, accurate methods of performing early road collapse risk assessm...

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Bibliographic Details
Main Authors: Jiahao Zhou, Juncai Jiang, Yizhao Wang, Wenfeng Bai, Fei Wang, Long Chen, Qinglun He
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-12-01
Series:Journal of Safety Science and Resilience
Subjects:
Road collapse
Ground subsidence
Risk assessment
Deep learning
LSTM network
Online Access:http://www.sciencedirect.com/science/article/pii/S2666449625000313
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