Session | Inno Rail India 2026

Programme

Initiatives, Innovations and technology advancements for Rolling Stocks
New product development and enhanced services for Rolling Stock
Smart Rolling Stock- lightweight mobility solutions, rail coach interiors & air conditioning
Advanced online monitoring of rolling stocks
Sustainable, eco-friendly and cost-efficient advancement in Rolling stock
Use of Artificial Intelligence for Intelligent Transportation
Urban Transportation in India- Smart Transport for Smart Cities & Smart Regulation
Energy-efficient and high power locomotives
Need to develop Ecosystem- Operator, EPC, Track, Rolling Stock and maintenance service providers
Opportunities for using alternate fuels in Railway Systems

Design and development of high speed and corrosion preventive Rail infrastructure viz. Track and bridges.
Carbon footprint reduction strategies in Infrastructure development
Environmental Sustainability in Power Systems in Railways
Tunneling in urban & mountainous terrain - Challenges & Technology
GIS Technologies and their use in Railways
Contemporary technology for track laying and maintenance
New design in Traction Power systems and need for cyber security
Wireless Communication Technologies, Interoperability and Standardization for train operations

Latest automated train protection and train collision avoidance technologies and in cab signaling.
Tamper –proof signaling system for railways
Digitalization, Communications-Based Train Control (CBTC)
Modern Techniques/Technologies for Traffic Optimization- Advanced Signaling
Automation and driverless trains, advanced Signal and communication systems
Digital technologies in train operation and to enhance safety
Positive Train Control (PTC) ,Remote Monitoring and Diagnostics
Integration of Artificial Intelligence (AI) and Machine Learning

The shift to Predictive Maintenance in Railways.
Reliability, Availability, Maintainability & Safety (RAMS) & Prognostics & Health Management (PHM)
Elements of a successful predictive maintenance strategy for railways
Role of digital technologies and IOT in developing predictive maintenance solutions
Scope of Condition Monitoring
Global Experience and available best practices in field of predictive maintenance
Software for design simulation & Reliability Engineering