How RoadVision AI Supports IRC 115 Compliance with Automated Pavement Analysis?

Introduction

India’s road network is one of the largest in the world, and maintaining its quality is critical for safety, efficiency, and economic growth. The Indian Roads Congress (IRC) issues various guidelines to ensure that roads meet high standards of performance and safety. Among these, IRC 115: Guidelines for Structural Evaluation and Strengthening of Flexible Pavements Using Falling Weight Deflectometer (FWD) is a crucial reference for assessing pavement health.

With advancements in technology, AI-based pavement condition monitoring is now transforming how road agencies and infrastructure companies meet IRC 115 requirements. RoadVision AI brings together pavement maintenance, automated structural evaluation, and a digital road maintenance system to help ensure compliance while optimizing road asset management in India.

Understanding IRC 115 and Its Role in Road Asset Management

IRC 115 provides a standard methodology for evaluating the structural capacity of flexible pavements using FWD surveys. The guidelines outline:

• Measurement of pavement deflections under controlled loading.
• Back-calculation of layer moduli to understand pavement strength.
• Determining overlay thickness for strengthening roads.
• Establishing maintenance priorities based on structural health.

For road asset management in India, these evaluations are essential for:

• Prolonging road service life.
• Reducing lifecycle costs.
• Ensuring safety and ride quality.
• Complying with national standards.

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Challenges in Traditional IRC 115 Compliance

Manual pavement assessment methods often face:

• Time-consuming field measurements.
• Subjective evaluation errors.
• Difficulty in capturing network-level road conditions.
• Limited integration with digital asset management systems.

These challenges can delay decision-making and result in reactive maintenance instead of preventive maintenance.

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How RoadVision AI Automates IRC 115-Based Pavement Analysis?

RoadVision AI uses AI-powered pavement condition surveys to align with IRC 115 standards by integrating advanced imaging, sensors, and analytics.

1. Automated Pavement Condition Survey

Through Pavement Condition Surveys, high-resolution imaging and sensors capture surface distresses such as cracks, rutting, potholes, and ravelling. These are mapped and quantified in compliance with IRC condition rating systems (as detailed in IRC:82 and IRC:115).

2. Structural Evaluation with Digital Modelling

AI algorithms simulate FWD-based deflection analysis, helping to predict structural performance and recommend strengthening overlays without excessive manual intervention.

3. Preventive Maintenance Planning

By integrating data into a digital road maintenance system, RoadVision AI enables agencies to schedule preventive maintenance before pavement ratings drop to critical levels, as recommended in IRC codes.

4. Seamless Integration with Asset Management

The platform connects survey data with road safety audits, traffic surveys, and case studies from real-world projects to guide investments and improve decision-making.

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Benefits of RoadVision AI for IRC 115 Compliance

• Accuracy: Automated defect detection minimizes human error.
• Speed: Large-scale surveys completed in a fraction of the time.
• Compliance: Fully aligned with IRC methodologies for pavement rating and overlay design.
• Cost Efficiency: Reduces unnecessary maintenance and extends pavement life.
• Safety: Supports targeted interventions to reduce accident risks.

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Role in Digital Road Maintenance in India

The integration of AI pavement maintenance tools with digital road asset management is a game-changer for India’s road sector. Agencies can now:

• Map the entire network condition digitally.
• Predict deterioration trends using machine learning.
• Optimize resource allocation based on real-time pavement health.

By following IRC 115’s structural evaluation approach, combined with AI insights, authorities can maintain a safe, durable, and efficient road network across the country.

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Conclusion

IRC 115 compliance is vital for ensuring that India’s flexible pavements remain structurally sound and cost-effective to maintain. With its automated pavement analysis, RoadVision AI empowers road agencies to meet these standards more efficiently, paving the way for smarter, safer, and longer-lasting roads.

RoadVision AI is transforming infrastructure development and maintenance by harnessing AI in roads to enhance safety and streamline road management. Using advanced roads AI technology, the platform enables early detection of potholes, cracks, and surface defects through precise pavement surveys, ensuring timely maintenance and optimal road conditions. Committed to building smarter, safer, and more sustainable roads, RoadVision AI aligns with IRC Codes, empowering engineers and stakeholders with data-driven insights that cut costs, reduce risks, and enhance the overall transportation experience.

Book a demo with us today to see how AI can transform your road asset management.

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FAQs

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Q1. What is IRC 115 used for?

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IRC 115 outlines procedures for structural evaluation of flexible pavements using FWD to determine strengthening needs.

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Q2. How does RoadVision AI align with IRC guidelines?

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It automates condition surveys, simulates FWD analysis, and integrates results into asset management platforms.

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Q3. Why is digital road maintenance important in India?

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It enables data-driven, preventive maintenance, reducing costs and improving road safety.

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