Intelligent Infrastructure and Data-Driven Approaches for Enhancing EVs and Smart Mobility Systems

Abstract

The rapid growth of electric vehicles (EVs) and smart mobility systems has increased the need for intelligent infrastructure and data-driven solutions to improve efficiency, safety, and sustainability. Intelligent infrastructure integrates advanced sensing, communication networks, and control systems to support seamless interaction between EVs, charging stations, and power grids. Data-driven approaches, including artificial intelligence, machine learning, and big data analytics, enable real-time monitoring, predictive maintenance, and optimized energy management. This study explores emerging techniques for enhancing EV performance, charging efficiency, traffic management, and autonomous operation through intelligent infrastructure. Key aspects such as smart charging, vehicle-to-grid integration, and connected mobility platforms are discussed. The proposed framework demonstrates how data-driven decision-making can reduce energy consumption, improve grid reliability, and enhance user experience. These advancements play a crucial role in developing sustainable, resilient, and intelligent transportation systems for future smart cities.