Railways switches to AI-enabled apps to address grievances, manage crowd better, Pg9

Key Highlights:

• Indian Railways has integrated Artificial Intelligence (AI) into seven mobile applications, including RailMadad, Coach Mitra, and RailOne, to improve passenger services.
• The Centre For Railway Information Systems (CRIS) is incorporating AI into 15 more applications to enhance security, freight loading, and train operations.
• Coach Mitra is currently operational in 74 trains, providing on-board housekeeping services.
• RailMadad uses AI to classify and prioritize passenger complaints based on urgency and type.

Detailed Insights:

• CRIS is using AI to predict the confirmation probability of waiting list tickets through the RailOne app.
• Bhashini, an AI tool, is integrated to convert voice complaints in 12 languages to text, identify complaint trends, and gauge passenger sentiment.
• AI is being developed to predict railway traffic congestion and encourage the shift of freight from road to rail using GST data.
• An incident prediction model is under development to forecast failures of railway assets using historical incident and failure data.

Key Concepts Involved:

• Artificial Intelligence (AI): The simulation of human intelligence processes by computer systems.
• Grievance Redressal: The process of addressing and resolving complaints or grievances.
• Freight Loading: The process of loading goods or cargo onto trains for transportation.