Uttar Pradesh is set to become the first state in the country for an AI‑driven road‑safety experiment. The Ministry of Road Transport & Highways (MoRTH), Government of India, has issued a formal no‑objection for the Uttar Pradesh Transport Department’s Artificial‑Intelligence (AI) and Big‑Data Analytics‑based Road‑Safety Pilot Project.
This is the first AI‑driven road‑safety experiment ever undertaken by a state transport department in the country. The pilot project will be implemented at zero cost (pro bono) by the public‑sector enterprise ITI Limited in partnership with global technology firm mLogica. The UP government has already earmarked Rs 10 crore in its 2025‑26 budget to establish a “data‑driven administrative model” for the Transport Department, officials here said on Tuesday.
The Union Ministry, while giving the NoC has made it clear that the initiative must fully comply with the Motor Vehicles Act 1988, the Central Motor Vehicles Rules 1989, and all road safety e‑enforcement Standard Operating Procedures (SOPs), and that it will entail no financial liability for MoRTH.
Officials said the initial proof‑of‑concept, scheduled for six weeks, will integrate multi‑source data—accident records, weather feeds, vehicle telematics, driver profiles, and roadway attributes—to build AI models that pinpoint root causes of crashes, forecast black spots, and generate real‑time policy dashboards.
Upon successful completion, the same AI engine will be rolled out—phase by phase—across all core functions of the Transport Department, including faceless licensing and permits, modernised enforcement, revenue collection, e‑Challan operations and the Vahan–Sarathi platforms, positioning Uttar Pradesh as a national leader in transport technology innovation.
Building on the evidence generated during the pilot project, the AI analytics core will be embedded into other digital assets of the department. The wave will integrate the engine with the paperless licensing and permit ecosystem, allowing end‑to‑end application processing, validation, and card production to run on self‑learning decision models.
Concurrently, the enforcement wing will deploy real‑time fraud detection, vehicle‑position mapping, and violation‑propensity forecasting, giving field officers data‑backed triggers for on‑the‑spot action. This will connect this AI core to revenue administration, e‑Challan recovery, and the Vahan–Sarathi registries, generating automated alerts and risk scores on tax dues, fee payments, and document validity.
By fusing these datasets, the department will gain a single pane‑of‑glass view—covering income flows, infractions, and credential status—thus sharpening policy design, resource allocation, and public transparency and positioning Uttar Pradesh as a national frontrunner in transport‑tech innovation.
UP Transport Commissioner Brajesh Narain Singh said here on Tuesday that “This initiative will place Uttar Pradesh at the forefront of data‑driven governance. By integrating the AI model beyond road safety into every core function of the department, we aim to make our state a national trailblazer in technological innovation.”
The ITI‑mLogica team has been authorised to begin work immediately in coordination with the Department’s IT, Enforcement, and Road‑Safety divisions. A comprehensive outcome report will be submitted to MoRTH at the end of the pilot project, while legal compliance, data privacy, and cybersecurity standards will be continuously audited.
The project is expected to deliver a measurable reduction in road‑crash rates, heightened enforcement efficiency, and more transparent, faster, and safer transport services for citizens.