AROHI: Advanced Road Optimization & Harvesting Intelligence for Sustainable Smart Infrastructure

"From Every Step You Take, We Capture Energy, Transmit Power, and Light Up the Future" AROHI (Advanced Road Optimization & Harvesting Intelligence) is a seventh-generation, physically validated smart road framework developed independently by a student researcher at BIAM Laboratory School & College, Bangladesh. The system transforms passive road infrastructure into active, energy-generating, and data-intelligent ecosystems through the integration of three complementary energy harvesting mechanisms — piezoelectric transduction, electromagnetic induction, and solar photovoltaic conversion — alongside an AI-driven adaptive optimization engine, a Markov Chain-based traffic prediction system, and a physically implemented blockchain-based decentralized monitoring architecture. Each one-square-metre AROHI road block simultaneously harvests energy from vehicular pressure, road surface vibration, and ambient solar radiation, combining outputs through a custom power conditioning circuit and transmitting processed data through a wired daisy-chain topology to a roadside TARAI (Taseen Ahnaf Road Artificial Intelligence) edge computing unit. The TARAI unit, built from repurposed consumer hardware running Armbian — a GNU GPL-licensed, ARM-optimized open-source operating system — serves as the local intelligence hub for each one-kilometre road segment, executing the AROHI AI system, managing blockchain validation, and generating 48-hour traffic forecasts accessible through dedicated software and mobile applications. The Markop-Chain system — AROHI's proprietary integration of Markov Chain probabilistic prediction with blockchain-based immutable data storage — achieved 81% prediction accuracy across 50 controlled test cycles and maintained 100% blockchain data integrity throughout all validation experiments. The V7 prototype's custom multi-source power conditioning circuit delivers a consistently stable 5.0–5.1V combined output, confirming the foundational soundness of the multi-source energy combining architecture. Overall system functionality was validated at approximately 80% of total claimed capability, with the electromagnetic module physically implemented and the solar photovoltaic subsystem pending integration. At an installation cost of approximately $25.45 per square metre — compared to $800–$1,600 per square metre for international smart road equivalents — AROHI demonstrates that intelligent road infrastructure is economically viable for deployment in high-density developing nations. The system's diversified revenue model — spanning electricity sales, dynamic EV charging fees, traffic data licensing, carbon credit monetisation, and grid stability services — projects a return on investment of approximately 5.2 years under full theoretical performance, with a conservative 13–15 year ROI excluding unvalidated subsystems. AROHI directly addresses Bangladesh's convergence of infrastructure crises: over 8,500 road fatalities recorded in 2024, an estimated four million electric auto-rickshaws operating without a formal charging infrastructure, and rapidly growing electricity demand against constrained renewable energy investment. The system's deployment roadmap targets Bangladesh's highest-traffic national highway corridors — the N1 Dhaka–Chittagong, N3 Dhaka–Mymensingh, and N2 Dhaka–Sylhet Highways — with phased expansion toward national grid integration and dynamic wireless EV charging at scale. The research has been developed across seven prototype generations since early 2023 and publicly demonstrated at the 45th National Science and Technology Fair 2024 (2nd place, upazila level), the 46th National Science and Technology Fair 2025 (national level), and is currently advancing toward the 47th National Science and Technology Fair 2026 following a first-place district result.