Smart Mobility Blueprint for India —
A Roadmap for Intelligent Transport Systems
The Intelligent Transport Systems (ITS) Roadmap for India presents a strategic framework to build a safer, smarter, and sustainable transport system by 2047, integrating data, infrastructure, and innovation for improved mobility across urban and rural areas. It supports national initiatives like PM Gati Shakti, Digital India, and the National Logistics Policy, emphasizing a phased approach based on policy reform, advanced technology, and sustainable financing to drive interoperability, indigenous innovation, and measurable outcomes, ultimately enabling an inclusive, low-carbon, future-ready transport ecosystem for Viksit Bharat@2047.
AI in Mobility - A Roadmap For India : Accelerating Safe, Smart and Sustainable Transport
The National Mission on AI in Mobility aims to transform India’s transportation by 2047 using artificial intelligence to create a safe, sustainable, and inclusive mobility ecosystem. Developed by OMI Foundation and ITS India Forum, it focuses on AI-powered traffic systems, predictive road safety, optimized logistics, smart public transport, and connected electric vehicles. The mission aligns with initiatives like IndiaAI and PM Gati Shakti and follows a phased program on Infrastructure, Data Ecosystems, Innovation, Skilling, and Governance to establish India as a global leader in intelligent and ethical mobility, advancing the vision of Viksit Bharat 2047.
Priority by Design: Advancing Emergency Mobility with Cellular Vehicle-to-Everything (C-V2X) in Telangana and India
Cellular Vehicle-to-Everything (C-V2X) technology can significantly improve emergency response in India by enabling real-time communication between ambulances, traffic signals, and control centers. The Hyderabad demonstration project aims to reduce ambulance response times by over 25%, increase safety, and generate substantial societal benefits. The technology leverages existing 5G infrastructure, adaptive traffic control, and connected infrastructure to coordinate emergency vehicles efficiently, with a broader goal of scaling up to nationwide connected emergency mobility systems.
Predict, Prevent, Protect: An AI Roadmap for Safer Roads in Telangana and India
This report outlines a strategic roadmap for using AI to address India’s road safety crisis, aiming to reduce over 150,000 annual fatalities. Focusing on Telangana, it proposes AI-enabled enforcement, predictive identification of black and grey spots, and real-time risk detection, supported by extensive data platforms and governance reforms. The initiative aims to cut fatalities by 50% by 2030, positioning Telangana and India as global leaders in AI-driven road safety solutions.
Breaking the Gridlock: An AI Roadmap for Urban Decongestion in Telangana and India
This report proposes AI as a key solution to India’s urban congestion, focusing on Telangana. It highlights AI’s ability to optimize existing road networks through predictive analytics, adaptive traffic management, and real-time multimodal integration, contrasting this with traditional infrastructure-heavy methods. Using Hyderabad as a case study, the report outlines a phased roadmap for technological upgrades, institutional empowerment, policy alignment, and public-private partnerships, aiming to establish Hyderabad as a national AI-mobility hub and scale the model across India for smart, equitable, and low-carbon urban mobility.
AI for Public Transport Optimisation: Enhancing Throughput, Efficiency, and Sustainability in Telangana
The Telangana State Road Transport Corporation (TGSRTC) is pioneering AI adoption in India’s public transport sector. It is implementing AI across all depots for enhancements like employee health monitoring, demand-based scheduling, and performance tracking, aiming to increase efficiency, reduce costs, and improve passenger services. This initiative positions Telangana as a leader in AI-driven, sustainable, and smart urban mobility.
This report outlines how AI can revolutionize urban mobility in India by addressing congestion, unreliable public transport, EV charging, and road demand management. It presents a data-driven roadmap featuring AI-powered digital twins, adaptive traffic systems, and demand-responsive EV charging, supported by ethical and regulatory frameworks. Positioned within national initiatives like IndiaAI, the vision is to build an intelligent, connected, and sustainable urban mobility future for India.
Monitor, Model, Mitigate: Harnessing AI for Vehicular Emissions Control
This report proposes a comprehensive AI-driven roadmap to reduce Delhi’s vehicular pollution. Using thermal imaging, ANPR, and edge computing, the system detects and predicts high-emission vehicles in real-time, enabling proactive enforcement. Pilot tests demonstrated high accuracy, and the report calls for citywide scaling, integration with vehicle databases, and stronger institutional readiness to transition Delhi from reactive to predictive, clean-air governance.
Charging Ahead: Global Insights and India’s Roadmap for Electric Road Systems (ERS)
This groundbreaking report reimagines India's transport electrification through dynamic Electric Road Systems (ERS), enabling charge-as-you-drive infrastructure. Drawing insights from ten global pilots, it shows ERS can cut logistics costs, reduce battery size by 40%, lower emissions by 87%, and decrease mineral dependence. With a phased Indian roadmap backed by NATRAX testing and PPP models, ERS positions India as a global leader in sustainable, affordable, and sovereign electric mobility.
