EDAR platform identifies 6,358 "black corridors" causing 37,164 deaths between 2023 and 2025
GS3Economy · S&T · Environment · Security· IT, AI, semiconductors & computing· Prelims + Mains·
Why in news
The Road Transport and Highways Ministry proposed using the AI-enabled eDAR platform to help states analyze road crash patterns and identify 'black corridors'.
Background
The eDAR platform identified 6,358 'black corridors' responsible for 37,164 deaths between 2023 and 2025. In 2024, India recorded 4,87,707 accidents resulting in 1,77,175 deaths.
Facts for Prelims
- S&TeDAR: An AI-enabled platform proposed by the Road Transport and Highways Ministry to analyze road crash patterns.
- FactIndia recorded 4,87,707 accidents and 1,77,175 deaths in 2024.
- FacteDAR identified 6,358 'black corridors' causing 37,164 deaths between 2023 and 2025.
- PlaceChintan Shivir 2026 was held in Ekta Nagar.
- SchemePM GatiShakti: A platform offered by the Centre to states for infrastructure planning.
For Mains
Q. Discuss how AI-driven platforms like eDAR can enhance road safety and infrastructure planning in India. What are the challenges in implementing such data-driven governance?
Dimensions to cover in your answer
- Data interoperability: Challenges in integrating real-time crash data from diverse state-level transport departments.
- Algorithmic transparency: Ensuring AI-driven 'black corridor' identification remains unbiased and verifiable for policy intervention.
- Infrastructure-Safety nexus: Balancing rapid highway expansion with localized safety interventions identified through predictive analytics.
Keywords: Predictive Analytics · Data-driven Governance · Road Safety · Infrastructure Planning · AI in Public Safety
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