**Executive Summary**
The National Highway Authority of India (NHAI) is transitioning from conventional maintenance to a predictive asset management framework for National Highway Operations and Maintenance (O&M). Announced on June 16, 2026, this initiative aims to identify infrastructure deterioration early through advanced data-driven monitoring and timely interventions. The shift is built on three strategic pillars: large-scale monitoring, a centralized intelligence ecosystem, and risk-based decision-making to enhance road longevity and user experience.
**Key Points / Main Content**
* **Strategic Pillars of Asset Monitoring**
* Deployment of Network Survey Vehicles (NSVs) to collect pavement condition data, including roughness, rutting, cracking, and structural distress.
* Use of Drone Analytics Monitoring Systems (DAMS) to create digital inventories, monitor structures, and identify encroachments.
* Implementation of Falling Weight Deflectometer (FWD) testing to assess structural health and detect weakening pavement sections.
* Rollout of AI-powered Dashcam Analytics Services (DAS) for automated detection of potholes, damaged crash barriers, faulty lighting, and drainage issues.
* **Centralized Asset Intelligence Ecosystem**
* Integration of data from NSVs, drones, dashcams, and FWD surveys into a single, unified ecosystem.
* Creation of a "one source" digital view of asset health across the entire National Highway network to replace fragmented inspections.
* Support for multiple use cases and stakeholders through continuously updated digital data.
* **Predictive and Risk-Based Decision-Making**
* Utilization of historical condition data and ongoing monitoring to identify deterioration trends early.
* Prioritization of vulnerable highway stretches to allow for intervention before shortcomings become critical.
* Adoption of proactive intervention strategies enabled by standardized maintenance manuals and improved contracts.
* **System Objectives**
* Enhancement of National Highway longevity through performance-driven maintenance systems.
* Optimization of maintenance activities using artificial intelligence and data analytics.
* Delivery of a world-class travel experience for highway users across the country.
**Impact Analysis**
**NHAI (National Highway Authority of India)**
**Impact:** Moves from conventional, fragmented inspection practices to a sophisticated, data-driven predictive maintenance framework.
**Action Required:** Must integrate various monitoring technologies into a centralized ecosystem and utilize historical data for risk-based prioritization and intervention.
**Maintenance Contractors**
**Impact:** Operations will be governed by improved maintenance contracts and standardized manuals.
**Action Required:** Align maintenance activities with new performance-driven systems and proactive intervention requirements set by NHAI.
**National Highway Users**
**Impact:** Will benefit from better-maintained infrastructure, improved safety features (like lighting and crash barriers), and an enhanced overall travel experience.
**Action Required:** No direct action required; users are the primary beneficiaries of the improved road conditions.
Key Entities Referenced
National Highway Authority of India (NHAI): The primary authority responsible for transitioning National Highway Operations and Maintenance (O&M) toward a predictive asset management framework.
Predictive Asset Management Framework: The core strategic initiative adopted by NHAI to move from conventional maintenance to a data-driven, early-intervention system for National Highways.
Drone Analytics Monitoring Systems (DAMS): A technological initiative used to create digital inventories of highway assets, monitor structures, and identify encroachments.
AI-powered Dashcam Analytics Services (DAS): An automated data capture rollout designed to detect road shortcomings such as potholes, damaged barriers, and faulty lighting.
Network Survey Vehicles (NSVs): Deployed technology used to collect critical pavement condition data, including roughness, rutting, and structural distress across the highway network.
Ministry of Road Transport & Highways
NHAI to Transit Towards Predictive Asset
Management for Strengthening Operations and
Maintenance of National Highways
प्रव तथ: 16 JUN 2026 6:25PM by PIB Delhi
In order to develop efficient and high-quality National Highway infrastructure, National Highway
Authority of India (NHAI) is undertaking a significant shift in National Highway Operations and
Maintenance (O&M) through the adoption of predictive asset management. The progressive transition
from conventional maintenance practices to predictive maintenance framework underlines NHAI’s dual
focus on building National Highways at scale, while ensuring maintenance of highways to the highest
standards. Predictive maintenance will help to identify deterioration early and enable timely intervention,
to keep National Highways in optimal condition.
The transition is anchored on three strategic pillars. The first pillar of this transition is large-scale asset
condition monitoring. NHAI has deployed Network Survey Vehicles (NSVs) across the National Highway
network under O&M to collect pavement condition data such as roughness, rutting, cracking and
structural distress. Also, Drone Analytics Monitoring Systems (DAMS) are being used to create digital
inventories of National Highway assets, monitor structures and identify encroachments, while Falling
Weight Deflectometer (FWD) testing assesses the structural health of pavements and detects weakening
sections before visible failures emerge. To further strengthen data capture, NHAI has initiated the rollout
of AI-powered Dashcam Analytics Services (DAS) across operational National Highways sections,
enabling automated detection of a wide range of shortcomings from potholes and damaged crash barriers
to faulty lighting and drainage issues.
The second pillar is the creation of a centralized asset intelligence ecosystem. Data generated through
NSVs, drones, dashcams and FWD surveys is being integrated into a single ecosystem, creating one
source of asset condition across the National Highway network. This allows data to support multiple use
cases and stakeholders across the O&M ecosystem, enabling NHAI to move beyond fragmented
inspections and develop a continuously updated digital view of National Highway asset health.
The third pillar is predictive monitoring and risk-based decision-making. By combining historical
condition data, inspection records and ongoing asset monitoring, NHAI will be able to identify trends
early, prioritize vulnerable stretches and intervene before the shortcomings become critical.
Underpinning these pillars is proactive intervention and performance management enabled through
standardized maintenance manuals, improved maintenance contracts and robust ecosystem support.
The initiative will provide an advanced and data-driven approach to Operations and Maintenance of the
National Highway network. Through the integration of advanced monitoring technologies, artificial
intelligence, data analytics and performance-driven maintenance systems, NHAI aims to enhance National
Highway longevity, optimize maintenance and deliver world class travel experience to National Highway
users across the country.***
GDH/DS
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