Collection
Artificial Intelligence in Railroad Track Base Management
The foundational paper, Artificial Intelligence in Railroad Track Base Management, established the current state of AI-enabled substructure assessment, organized the field into three functional layers (perception, condition assessment, prediction and planning), and surfaced five findings on capability maturity and adoption barriers. It also deliberately deferred several threads that exceeded its scope: sensing methods in technical…
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CRX-WP-0012
White paper Transport infrastructure
A Framework for Trustworthy Deployment: Governance, Human-Automation Teaming, and a Phased Implementation Roadmap for AI in Track Base Management
Paper 5, the capstone of a five-part series on artificial intelligence in railroad track base management.
2 Aug 202617 minOpen -
CRX-WP-0011
White paper Transport infrastructure
When the Model Is Wrong: Risks, Hazards, and Failure Modes of AI in Safety-Critical Track Inspection
Paper 4 in a five-part series on artificial intelligence in railroad track base management.
2 Aug 202617 minOpen -
CRX-WP-0010
White paper Transport infrastructure
The Economics of Knowing: Predictive Maintenance, Degradation Forecasting, and the Asset Value Case for Substructure AI
Paper 3 in a five-part series on artificial intelligence in railroad track base management.
2 Aug 202614 minOpen -
CRX-WP-0009
White paper Transport infrastructure
From Signal to Standard: Substructure Condition Metrics, Validation Protocols, and the Path to Regulatory Standing
Paper 2 in a five-part series on artificial intelligence in railroad track base management.
2 Aug 202616 minOpen -
CRX-WP-0008
White paper Transport infrastructure
Seeing Beneath the Rail: Sensing Technologies and Data Foundations for AI-Based Substructure Assessment
Paper 1 in a five-part series on artificial intelligence in railroad track base management. The foundational paper established the current state of AI-enabled substructure assessment and a three-layer framework of perception, condition assessment, and prediction.
2 Aug 202614 minOpen -
CRX-WP-0007
White paper Transport infrastructure
Artificial Intelligence in Railroad Track Base Management: Applying Machine Perception and Predictive Analytics to Ballast, Subballast, and Subgrade Condition Assessment
The condition of the railroad track base, the ballast, subballast, and subgrade layers beneath the rail and ties, governs the rate at which track geometry degrades, the drainage performance of the right of way, and ultimately the safety and cost profile of the network.
2 Aug 202615 minOpen