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 crash patterns and identify 'black corridors' causing fatalities.
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 and 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.
- BodyPM GatiShakti: A platform offered to states by the Centre at Chintan Shivir 2026.
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 technology at the state level?
Dimensions to cover in your answer
- Data interoperability: Challenges in integrating real-time crash data from diverse state-level transport departments
- Infrastructure bottleneck: High fatality rates in 'black corridors' due to inadequate engineering and lack of automated monitoring
- Technological divide: Disparity in state-level capacity to adopt and maintain AI-enabled safety platforms
Keywords: Predictive analytics · Road safety · Data-driven governance · Infrastructure planning · AI-enabled monitoring
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