The Road Transport and Highways Ministry announced on August 13 that it will extend its eDAR AI system to state governments, enabling them to identify accident‑prone stretches beyond the national highway network.
The system, already in use on India’s national highways, flagged 6,358 black corridors covering more than 6,400 km and recorded 37,164 deaths between 2023 and 2025. Tamil Nadu leads with 958 corridors, followed by Uttar Pradesh with 671 and Karnataka with 607.
Under the proposal, states will gain access to eDAR alongside platforms such as PM GatiShakti, Data Lake, Bhoomi Rashi, and contractor‑rating systems, coupled with training to adapt the analysis for state and local roads. The Chintan Shivir 2026, a two‑day forum on highway infrastructure, highlighted how these tools can improve project supervision and engineer selection.
India logged 4,87,707 road accidents and 1,77,175 deaths in 2024, reinforcing the urgency of data‑driven safety interventions. The ministry expects the state‑level deployment to inform engineering, enforcement, and policy decisions by the end of 2027, with a focus on reducing fatal crashes in high‑risk corridors.