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<p>Urban Indian roads are under increasing stress due to rapid urbanization, escalating traffic volumes, and deteriorating infrastructure. This Study explores how integrating predictive technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), drones, and blockchain within a Performance-Based Asset Management (PBAM) framework enhances road maintenance efficiency. AI-powered drone inspections improved Pavement Condition Index (PCI) assessment accuracy by 85% while reducing inspection time by 70%. Blockchain-enabled tracking cut response times from 72 to 24&#xa0;h, and predictive maintenance via big data reduced emergency repairs by 60%. Case studies across five Indian cities Noida, Hyderabad, Bangalore, Mumbai, and Delhi demonstrate how these technologies yield tangible benefits, including better road conditions (PCI 70–85), extended service life, and optimized budget allocations. The study validates a scalable, technology-driven PBAM model adaptable for urban Indian roads.</p>

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Predictive Technologies for Road Asset Management in Indian Cities

  • 期刊论文

  • 发表日期：

    2025年7月18日

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  • Rahul Saini,
  • Pradeep Kumar Agarwal,
  • Pritikana Das

摘要

Urban Indian roads are under increasing stress due to rapid urbanization, escalating traffic volumes, and deteriorating infrastructure. This Study explores how integrating predictive technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), drones, and blockchain within a Performance-Based Asset Management (PBAM) framework enhances road maintenance efficiency. AI-powered drone inspections improved Pavement Condition Index (PCI) assessment accuracy by 85% while reducing inspection time by 70%. Blockchain-enabled tracking cut response times from 72 to 24 h, and predictive maintenance via big data reduced emergency repairs by 60%. Case studies across five Indian cities Noida, Hyderabad, Bangalore, Mumbai, and Delhi demonstrate how these technologies yield tangible benefits, including better road conditions (PCI 70–85), extended service life, and optimized budget allocations. The study validates a scalable, technology-driven PBAM model adaptable for urban Indian roads.