Open Projects in Road Safety
Explore research and CSR opportunities at
IIT Madras in this domain.
Road Safety
8 proposals
Adopt a district for safer roads
This CSR-ready project partners with high-burden districts to deploy a Data-Driven Hyperlocal Intervention framework that uses iRAD accident data to identify risk hotspots, design targeted countermeasures, and track impact. By strengthening district governance and building local capacity, the initiative aims to reduce fatalities, severity, and economic losses from road crashes while creating a scalable template for safer mobility across India.
By: Prof. Atul Singh
Co-PI: Prof. Venkatesh Balasubramanian
Cause: Road Safety
Augmented and Virtual-reality based driver training for safety enhancement
Conventional driving tests offer limited exposure to complex traffic situations and unexpected hazards. IIT Madras proposes an immersive driver training and assessment system using virtual reality, affordable steering and pedal controls, and simulated Indian traffic. Drivers will practise scenarios including pedestrian crossings, school zones, low visibility and emergency braking. Automated scoring will assess rule adherence, reaction time and hazard response. The two-year project will develop and pilot the system to evaluate learning outcomes and explore its use alongside conventional RTO assessments.
By: Prof. Lelitha Devi
Cause: Road Safety
An integrated single-board computer based computer vision system for real-time detection of multiple traffic violations
Monitoring multiple traffic violations often requires expensive hardware and separate detection systems. This proposed IIT Madras project aims to develop an affordable, single-board computer-based system that detects wrong-side driving, riding without a helmet, and speeding from a single camera feed. By combining lightweight computer vision models with local processing, the project seeks to make real-time traffic monitoring more accessible. The integrated device will be field-tested on an urban arterial road under clear-sky, daytime conditions to evaluate detection accuracy and processing performance.
By: Prof. Lelitha Devi
Cause: Road Safety
Low-Cost Solution for Abnormal Driving Behavior Detection using Multi-Source Data Fusion
This CSR-ready project develops machine vision and data fusion models that identify fatigue, distraction, and aggressive manoeuvres in real time, generating alerts through a driver-monitoring application. Designed for integration with ADAS and insurance telematics, the solution helps professional drivers and fleets reduce accidents and promotes responsible driving. Corporate partners can make India's roads safer while showcasing leadership in intelligent transport systems.
By: Prof. Lelitha Devi
Cause: Road Safety
Technology based interventions to improve road safety in Gurugram
This CSR-ready project targets ten high-risk blackspots along the Delhi-Gurugram-Faridabad corridors using detailed accident data, statistical modelling, and machine learning to identify root causes. The team will recommend major civil works while implementing low-cost, high-impact measures subject to funding. Corporate partners can measurably reduce fatalities and serious injuries, demonstrating leadership in road safety and urban resilience.
By: Prof. Gitakrishnan Ramadurai
Cause: Road Safety
Technology development for enhancement of safety in two wheelers
This CSR-ready project designs and tests advanced safety technologies for two-wheelers, including alert systems, stability control, and optimized curve braking to prevent crashes. Focusing on India's heavily two-wheeler-dependent traffic mix, it targets at least a 30 percent reduction in fatalities and serious injuries. Corporate partners can champion safer mobility and protect vulnerable road users nationwide.
By: IITM
Cause: Road Safety
Reducing accidents involving public transit buses in Chennai
This CSR-ready project designs a digital public infrastructure layer that standardises safety data, aggregates smartphone and sensor inputs, and generates secure driver ratings for commercial bus fleets. The resulting Commercial Driver Rating System can inform regulation, training, and incentives, leading to safer driving practices and thousands of lives saved each year. Corporate partners can champion road safety while improving fleet working conditions and accountability.
By: Prof. Gitakrishnan Ramadurai
Cause: Road Safety
Project SmartFR-Smart Phone Based First Responder Training for Road Accidents
This CSR-ready project develops SmartFR, a smartphone application that combines communication tools, gaming, VR, and AR to train laypersons as effective first responders in road accidents. The app will teach recognition of trauma emergencies, safe first aid, and timely EMS activation, with a special focus on youth. Corporate partners can help cut preventable deaths, ease healthcare costs, and build a safety-conscious generation of road users.
By: Prof. M. Manivannan
Cause: Road Safety