Work

A theory-guided multi-scale temporal fusion network for road surface temperature nowcasting

Year: 2026

Type: article

Abstract: < 0.05) in RST prediction accuracy, spatial generalization, weather adaptability and extreme event detections. Systematic ablation studies revealed a feature extraction hierarchy of maximum pooling in micro branches>average pooling in micro branches>real-time spatiotemporal attention mechanisms>macro branches. MSTF-Net combined lightweight computational characteristics (0.11 MB) with high-resolution modeling capabilities, enabling efficient real-time emergency response optimization (38.46 FPS), potentially providing new capabilities in infrastructure-resilient smart systems for thermal risk identification and road predictive maintenance.

Source: iScience

DOI: 10.1016/j.isci.2026.115085

Authors: Kexin Wang, Yunxuan Bao, Xiangyi Wei, Chengying Zhu, Duanyang Liu

Institutions: China Meteorological Administration, Nanjing University of Information Science and Technology, Chinese Academy of Meteorological Sciences, East China Normal University

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure, Climate action

Open Access status: gold

Estimated APC paid: $3,240