AI-Enhanced Slope Stability and Landslide Risk in Transport Infrastructure
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 380
Special Issue Editor
Interests: geotechnical engineering; transportation geotechnics; slope stability assessment; scour monitoring; soil–structure interaction; artificial intelligence in civil engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The stability of natural and engineered slopes is a critical factor in the safety, resilience, and sustainability of transport infrastructure. Landslides and slope failures pose significant risks to road, rail, and port networks, causing economic losses, service disruptions, and hazards to human life. With the increasing impacts of climate change, extreme weather events, and expanding infrastructure demands, innovative approaches are required to assess, monitor, and mitigate these risks.
This Special Issue invites contributions at the intersection of artificial intelligence (AI), geotechnical engineering, and risk management to advance the state of the art in slope stability analysis and landslide risk mitigation for transport corridors. Topics of interest include (but are not limited to) the following:
- AI-driven models for slope stability prediction;
- Integration of remote sensing (e.g., InSAR, UAV, LiDAR) and in situ monitoring with machine learning algorithms;
- Real-time risk assessment frameworks;
- Digital twins for slope and landslide hazard management;
- Uncertainty quantification in AI-based predictions;
- Decision support systems for proactive infrastructure maintenance.
We welcome original research articles, technical notes, and review papers that showcase methodological advances, practical applications, and case studies demonstrating the potential of AI to transform slope stability analysis and enhance resilience against landslide risks in transport infrastructure.
Dr. Joaquim Tinoco
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- slope stability
- landslide risk assessment
- transport infrastructure
- remote sensing (InSAR, UAV, LiDAR)
- digital twins
- geotechnical monitoring
- predictive modeling
- resilient infrastructure
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