AI @ CSX

Extensive research outputs confirmed AI effectiveness in railroad trespassing detection analyzing thousands of hours of video; integration of AI, IoT, edge computing, and digital twin technologies continue expanding to improve safety and operational efficiency.

• ScienceDirect: Artificial Intelligence-Aided Railroad Trespassing Detection Case Study
• SpringerOpen: Digitalization of Railway Transportation Through AI-Powered Technologies
• MDPI: Edge Integration of Artificial Intelligence into Wireless Smart Sensors for Railroad Bridge Impact Detection

CSX leveraged Microsoft Azure and Copilot Studio to launch 'Chessie,' a generative AI assistant integrated into ShipCSX, enabling real-time shipment tracking and enhancing customer experience with rapid adoption and ROI.

• Microsoft: The Fast Track: CSX Transforms Operations for 23,000-plus Customers
• Microsoft: CSX Boosts Supply Chain Agility Using Microsoft Copilot Studio

Multiple initiatives highlighted, including novel sensor and camera tech for maintenance efficiency (UNM), BNSF's AI-driven predictive maintenance and yard checks, and industry-wide generative AI adoption benefits.

• news.unm.edu: Right on Track: Researchers Use New Tech to Improve Railroad Safety
• bnsf.com: Eyes on AI: BNSF Innovates to Better Serve Our Customers
• cbs42.com: The Value of Adopting Generative AI in the Freight Railroad Industry
• everestrailcar.com: The Rails Ahead: How AI is Revolutionizing the Railroad Industry

Railroads ramped up AI use in transportation planning and operational adjustments to meet dynamic demands, demonstrating increased AI integration into logistics.

• Trains: Railroads Ramp Up the Use of Artificial Intelligence

Wi-Tronix and Federal Railroad Administration advanced AI-powered camera tech and AI intruder learning systems to enhance railroad safety and hazard detection.

• Wi-Tronix: Using AI-Powered Camera Technology to Improve Railroad Safety
• Federal Railroad Administration (.gov): Railroad Artificial Intelligence Intruder Learning System (RAIILS)

Federal Railroad Administration published research on building a railroad trespassing database using AI from a Rutgers-led project, reinforcing safety initiatives.

• Federal Railroad Administration: Development of Railroad Trespassing Database Using Artificial Intelligence

CSX introduced an AI-powered chatbot to streamline real estate inquiries, enhancing customer engagement and self-service capabilities, alongside growing industry reflections on AI for railway operations efficiency.

• CSX: CSX Introduces ChatBot to Streamline Real Estate Inquiries
• McKinsey: The Journey Toward AI-Enabled Railway Companies

Industry-wide discussions on AI's concept and subset machine learning highlighted its growing adoption in transportation, underscoring technological awareness in railroads.

• Union Pacific: The Advent of AI in the Transportation Industry

Rutgers University researchers developed AI-aided railroad trespassing detection tools aimed at reducing fatalities at crossings.

• rutgers.edu: Rutgers Researchers Create AI-Aided Railroad Trespassing Detection Tool

AI and robotics technologies began impacting US railroad worker roles, signaling early AI-induced operational changes in the industry.

• apuedge.com: US Railroad Workers Are Affected by Industry's New Technology

CSX initiated its AI journey leveraging IoT-enabled machine learning to build a train delay index for estimating failures and costs related to delayed trains.

• logisticsviewpoints.com: CSX's IoT Enabled Machine Learning Journey