Abstract:
Artificial intelligence (AI) and the Internet of things (IoT) are key technologies for intelligent transportation systems (ITSs). The fusion of these two important technologies is essential for ITSs, which can steer the future of mobility toward greater safety, efficiency, and sustainability. AI-driven analytics, coupled with real-time IoT sensor data, enable dynamic traffic management, predictive maintenance, and autonomous vehicle coordination. These technologies work in tandem to reduce congestion, lower emissions, and enhance commuter experiences through adaptive systems that learn and evolve. From smart traffic lights to vehicle-to-infrastructure (V2I) communication, the integration of AI and IoT fosters responsive, data-centric ecosystems. Challenges such as data privacy, interoperability, and cybersecurity persist, demanding robust frameworks. The convergence of AI and IoT is not merely an enhancement but a necessity for resilient, future-ready transportation networks.