AROHI: Advanced Road Optimization & Harvesting Intelligence for Sustainable Smart Infrastructure
This research paper introduces AROHI (Advanced Road Optimization & Harvesting Intelligence), an innovative interdisciplinary framework that transforms conventional highways into intelligent, energy-generating infrastructure systems. By seamlessly integrating three distinct energy harvesting technologies—piezoelectric tiles, electromagnetic induction coils, and nano-processed solar surfaces—with AI-driven traffic optimization and blockchain-based data validation, AROHI proposes a sustainable solution for renewable energy generation and smart transportation management. The system demonstrates a theoretical energy generation capacity of 365 kWh per kilometer per day, representing a significant advancement over existing single-source implementations like France's Wattway and Netherlands' SolaRoad. Through comprehensive mathematical modeling and simulation analysis using MATLAB/Simulink and Python-based Monte Carlo methods, the study presents detailed energy yield calculations, cost-benefit analysis showing a 6-8 year ROI with an estimated installation cost of 250,000 USD per kilometer, and environmental impact assessments indicating 85-100 tons of CO₂ offset annually per kilometer. The framework employs a novel Markov Chain-based predictive engine for real-time traffic forecasting and dynamic parameter adjustment, maintaining system efficiency above 90%, while a groundbreaking Proof-of-Efficiency blockchain consensus mechanism ensures transparent, tamper-proof data integrity with less than 1% energy overhead. Significantly, the core technology has already been successfully applied and tested on a small-scale platform, demonstrating practical feasibility. Building on this success, comprehensive arrangements have been made to develop a fully functional working prototype in December 2024, which is expected to validate the theoretical framework and confirm real-world operational performance. This work addresses critical research gaps in sustainable infrastructure by presenting the first comprehensive integration of hybrid energy harvesting, artificial intelligence optimization, decentralized blockchain validation, and IoT-enabled monitoring in a unified roadway architecture, offering a viable pathway toward carbon-neutral intelligent cities and self-sustaining transportation networks.
Institutions
- Binzhou Medical University (CN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-22
- DOI
- https://doi.org/10.5281/zenodo.17681144
- Primary Topic
- Innovative Energy Harvesting Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00