AI for Road Safety Summit
Road safety remains a critical global challenge with significant human and economic consequences. India, in particular, faces a formidable task in reducing road accidents and enhancing the safety of its transportation networks. The rapid evolution of mobility systems, increasing traffic density, and diverse road conditions demand solutions that go beyond traditional reactive approaches.
🔮 Predict and Prevent Accidents
AI systems analyse extensive datasets covering traffic flow, weather conditions, road infrastructure characteristics, and historical accident data to identify high-risk locations and predict potential accident scenarios, enabling timely and targeted interventions.
🚦 Optimise Traffic Management
AI-enabled traffic management solutions support smart traffic signal control, dynamic routing, and congestion management that adapt in real time to traffic conditions. These systems reduce bottlenecks, improve overall traffic flow, and minimise accident risks.
👤 Enhance Driver Behaviour
In-vehicle AI systems and mobile applications provide real-time feedback to drivers, detect fatigue or distraction, and promote safer driving habits through personalised interventions.
🚑 Improve Post-Crash Response
AI technologies enable rapid accident detection, precise incident location identification, and efficient dispatch of emergency services, significantly reducing response times and improving outcomes for accident victims.
📊 Inform Policy and Infrastructure Design
AI-driven insights provide policymakers and urban planners with evidence-based inputs for designing safer road infrastructure, implementing effective regulations, and allocating resources more efficiently.
Launch of the AI for Road Safety Hackathon 2026
The summit will formally launch the AI for Road Safety Hackathon 2026, a nationwide challenge to develop innovative AI-based solutions for real road safety problems.
Focus: Identify high-potential talent, foster creativity, and nurture scalable platforms for real-world deployment and safer Indian roads.
CoERS and IIT Madras: Leadership in AI-Driven Road Safety
The Centre of Excellence for Road Safety (CoERS) at IIT Madras, under the Ministry of Road Transport and Highways, is at the forefront of research, development, and innovation in road safety. CoERS has consistently advanced AI-driven platforms and solutions, including Sanjaya, RATH, ThinnAI, RSILT, and other specialised systems designed to support road safety governance and decision-making.
RATH
Sanjaya
ThinnAI
RSILT
With deep expertise in engineering design, data science, and applied artificial intelligence, IIT Madras and CoERS are uniquely positioned to lead national and international efforts in deploying scalable, data-driven road safety solutions.
The Imperative for Artificial Intelligence in Road Safety
Road safety challenges in India arise from a complex interplay of diverse road conditions, heterogeneous traffic patterns, human behavioural factors, and vehicle dynamics. Conventional road safety approaches, while valuable, often struggle to keep pace with the scale, speed, and complexity of these evolving challenges.
Artificial Intelligence offers a transformative pathway through its capabilities in large-scale data analysis, pattern recognition, predictive modelling, and real-time decision-making.
Objectives of the AI for Road Safety Summit
- Igniting Innovation: Inspire students, researchers, startups, and innovators to develop AI solutions tailored to India’s road safety context.
- Knowledge Exchange: Facilitate dialogue among policymakers, officials, experts, researchers, and practitioners.
- Ecosystem Building: Strengthen collaboration across government, industry, academia, and startups to accelerate deployment of AI technologies.
Event Details
- Date: 16 February 2026
- Venue: Bharat Mandapam, New Delhi
- Part of: India AI Impact Summit 2026
Organized By
- Centre of Excellence for Road Safety (CoERS), IIT Madras
- In collaboration with MoRTH and MeitY