September 10, 2024
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Read More →The Data-Driven Hyperlocal Intervention (DDHI) framework is a structured, district-specific road safety initiative developed by the Centre of Excellence for Road Safety(CoERS) at IIT Madras under the aegis of the Ministry of Road Transport and Highways (MoRTH), Government of India.
Hyperlocal interventions are crucial for enhancing road safety outcomes on the ground. While crash data provides patterns, effective action requires an understanding of the district-level context, where risk factors, road behaviour, and system readiness differ.
DDHI framework and tools assist the District Road Safety Committee (DRSC) of 100high crash burdened Districts to identify human factor road safety issues, assess opportunities to improve at the hyper local level, plan suitable low-cost, high-impact road interventions, track implementation and assess impact.
The Rehabilitation Bioengineering Group (RBG Labs) was established in 2006 at the Department of Engineering Design, IIT Madras, under the leadership of Prof. Venkatesh Balasubramanian. The lab applies a data-driven systems approach across road safety, human factors engineering, driver behavior, lean manufacturing, and policy support. Over the years, it has grown into a national reference centre for evidence-based innovation and capacity building in transport and safety systems.
In collaboration with the Ministry of Road Transport and Highways (MoRTH), RBG Labs developed the electronic Detailed Accident Report (eDAR/iRAD), India’s first national crash database, now deployed across all 36 States and Union Territories. The lab also anchors the Centre of Excellence for Road Safety (CoERS), integrating research in human factors, road engineering, and vehicle safety to strengthen systemic outcomes.
Visualize crash hotspots using Sanjaya’s real-time heatmaps and accident data dashboards.
Capture local insights from police, first responders, and communities via the Field Perception Survey (FPS).
Assess trauma care preparedness of hospitals using the Trauma Care Preparedness Level (TPL) tool.
Get suitable intervention suggestions for problems through the Road Safety Interventions Lookup Tool (RSILT).
High-Risk Districts Participating
States Engaged Nationwide
From concept to impact, IIT Madras RBG Labs transforms raw data into sustainable, real-world solutions.
From conceptual ideas, factual/perceived data, and derisking strategies, we design actionable pathways.
Through pilot testing, review, and cluster-based learning, we scale solutions effectively.
Every intervention is evaluated, refined, and optimized for long-term value.
✨ Together, we are shaping a smarter, safer, and more sustainable future.
Operationalizing the DDHI framework across 100 high-crash districts, enabling evidence-based interventions and capacity building for states and local governments.
District-level officials and agencies trained on hyperlocal crash data, aligning multiple stakeholders for seamless on-ground interventions and monitoring.
The DDHI program enables states and districts to act on granular crash data from CoERS.
More description…
Alignment workshops train district officials to interpret hyperlocal crash data, align multi-agency roles, and prioritize interventions with measurable outcomes.
Our approach to project implementation is structured around a strategic framework designed to ensure clarity, alignment, and effective execution. This framework serves as a comprehensive guide, detailing each phase of the project lifecycle, from initiation to assessment
Objectives and implementation plan
Deskilling processes and upskilling people
District Taskforce to plan for hyperlocal interventions
Tracking and implementation of interventions
Horizontal learning of challenges and best practices
Perception and crash data for effectiveness
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September 10, 2024
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