Smart Road Design in Palestine: Leveraging Artificial Intelligence (AI) and Geospatial Technologies for Climate-Resilient and Accessible Transportation Networks

Abstract

This study pioneers the integration of artificial intelligence (AI) and geospatial technologies to design climate-resilient and accessible transportation networks in Palestine, addressing its unique topographic, geopolitical, and climatic challenges. By leveraging AI-driven road alignment optimization, smart sensor networks, and locally sourced, durable materials, the research proposes adaptive solutions for urban and rural connectivity. A case study in Ramallah demonstrated a 30% reduction in peak-hour congestion through AI-optimized roundabouts and a 20% decrease in maintenance costs using polymer-modified limestone. Despite data scarcity and resource limitations, crowdsourcing and international collaboration can scale these solutions. The findings offer a model for infrastructure development in conflict-affected regions, with implications for policy and regional cooperation. While this study leverages AI-driven tools for data analysis and optimization, all critical decisions—including model validation, material selection, and policy recommendations—were made by human experts. AI served as an assistive tool to enhance precision and efficiency, with final outcomes subject to engineering and ethical review