India’s vast road network forms the backbone of national connectivity, economic movement, and public mobility. Yet one recurring challenge keeps resurfacing in government road projects: how to maintain long-term pavement performance within strict budgets. Traditional budgeting approaches often rely on visual inspections or historical trends, but these methods often fail to reveal the hidden structural health of pavements. As the old saying goes, “Looks can be deceiving.” A road that appears stable on the surface may be structurally weak underneath. This is precisely why IRC 115 structural evaluation has become indispensable for modern infrastructure planning. Today, intelligent digital platforms such as AI-powered road infrastructure intelligence systems are helping agencies combine structural insights with advanced inspection technologies.
For government agencies—including PWD departments, NHAI authorities, and municipal bodies—pavement maintenance and strengthening account for a large share of annual infrastructure budgets. Without scientific evaluation, budgeting decisions may fall into two costly traps.
Insufficient pavement strengthening can result in premature road failures and repeated repair cycles.
Modern inspection tools such as AI-powered pavement condition intelligence systems help engineers monitor pavement health and identify areas requiring strengthening.
Excessive overlays or unnecessary reconstruction can inflate material and labour costs, leading to inefficient infrastructure spending.
Both under-designing and over-designing result in waste of public funds and reduced lifecycle efficiency.
• Cost-Optimised Maintenance – Determines accurate overlay thickness for flexible pavement strengthening
• Maximised Asset Life – Supports proactive planning within infrastructure asset management systems
• Prioritisation of Critical Corridors – Identifies road segments requiring urgent inspection
AI inspection tools such as AI-powered rapid road damage detection systems help detect distress before it becomes structurally severe.
In simple terms, IRC 115 helps agencies spend smarter not more.
The Indian Roads Congress (IRC) introduced IRC 115 to standardise pavement structural evaluation using the Falling Weight Deflectometer (FWD).
The FWD applies a dynamic load to the pavement surface simulating the impact of real vehicle axles—and measures resulting surface deflections. These measurements allow engineers to determine:
• structural capacity of pavement layers
• remaining service life
• strengthening requirements
• overlay design parameters
• subgrade responsiveness
2.1 Scientific Load Simulation
FWD equipment replicates axle loads with high accuracy.
2.2 Deflection Basin Interpretation
Multiple sensors capture deflection bowls to evaluate pavement layer behaviour.
2.3 Overlay Design Algorithms
Data-driven calculations determine strengthening thickness requirements.
2.4 Standardised Evaluation Methods
Ensures consistent pavement assessment across highway networks.
2.5 Lifecycle-Focused Maintenance
Encourages long-term pavement planning rather than reactive repairs.
These principles make IRC 115 a cornerstone of scientific pavement asset management.
Although FWD testing provides highly accurate structural data, deploying FWD surveys across long road networks can be expensive and time-consuming.
Digital inspection platforms help optimise where and when FWD testing should be conducted.
3.1 AI-Based Pre-Screening
AI systems automatically detect surface distress through AI-powered road network monitoring platforms.
3.2 Geo-Tagged Defect Mapping
Detected defects are plotted on digital maps to identify precise locations requiring structural evaluation.
3.3 Priority Ranking of Road Segments
AI analytics ranks road stretches most likely to require structural testing.
3.4 Digital Twin Creation
The platform builds digital models of road corridors to support infrastructure monitoring and lifecycle planning.
3.5 Cost and Time Optimisation
AI pre-screening limits FWD deployment to the most critical locations, reducing survey costs and improving inspection efficiency.
Road infrastructure asset tracking tools such as AI-powered roadside infrastructure inventory systems further strengthen long-term monitoring.
As the saying goes, “Measure what matters.” RoadVision AI ensures engineers measure exactly where it matters most.
Despite its advantages, implementing IRC 115 across extensive highway networks can present operational challenges.
FWD testing units are expensive and limited in number, especially across large states.
Structural deflection data requires experienced engineers for accurate analysis.
India’s road networks extend across thousands of kilometres, making complete structural evaluation difficult.
Traditional inspection methods cannot scale quickly after extreme weather events or monsoon damage.
Government departments must adopt modern inspection tools such as AI-powered traffic analytics systems to support smarter infrastructure monitoring.
Digital platforms help address these challenges by acting as a triage system identifying the most critical pavement sections for structural evaluation.
India’s growing infrastructure ambitions—from national highway expansion to smart city mobility corridors require roads that are not only well-constructed but also intelligently maintained.
IRC 115 provides the scientific framework for structural pavement evaluation, ensuring strengthening decisions remain accurate, cost-efficient, and technically sound.
However, its full potential emerges when combined with modern digital inspection technologies. By integrating structural evaluation with AI-powered road monitoring platforms, authorities can expand inspection coverage, prioritise repairs effectively, and optimise infrastructure spending.
Together, these technologies enable governments to:
• extend pavement lifespan
• reduce unnecessary maintenance expenditure
• improve transparency in infrastructure budgeting
• deliver safer and smoother roads to citizens
As the proverb says, “A rupee saved is a rupee earned.”
By combining IRC 115 structural evaluation with AI-driven inspection technologies, road authorities can save significant maintenance costs while building stronger, longer-lasting road networks.
RoadVision AI is helping redefine how India evaluates, budgets, and manages its road infrastructure—transforming engineering data into smarter decisions for a better connected future.
The Autonomous Road Engineer
AI that is transforming road infrastructure, from reactive to predictive.
