Artificial Intelligence could soon play a bigger role in improving road safety across India. An AI-enabled system currently being used on National Highways may be extended to help states identify accident-prone stretches on state and local roads.
The Electronic Detailed Accident Report (eDAR) platform uses accident data to identify where crashes are happening and help authorities plan targeted safety measures. According to the Ministry of Road Transport and Highways, AI analysis of eDAR data has already identified 6,358 black corridors covering more than 6,400 km of National Highways. These stretches recorded 37,164 deaths between 2023 and 2025.
Tamil Nadu has the highest number of identified black corridors at 958, followed by Uttar Pradesh with 671 and Karnataka with 607.
The Centre is now encouraging states to use similar data-driven systems beyond National Highways. The technology could help authorities decide where road engineering improvements, stronger enforcement or other safety measures are required.
The proposal was discussed during the Chintan Shivir 2026 on highway infrastructure in Gujarat. The Centre also offered platforms such as PM GatiShakti, Data Lake and eDAR, along with technical support, to help states adopt technology-driven road planning.
With road accidents remaining a major concern in India, wider use of AI-based analysis could help authorities identify risks earlier and make roads safer.
