Applications of AI and IoT Computing in Smart Transportation

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has revolutionized the transportation industry, leading to the development of smart transportation systems. These systems utilize AI-driven algorithms and IoT devices to enhance traffic management, autonomous driving, predictive maintenance, and overall operational efficiency. This paper explores the integration of AI and IoT in smart transportation, emphasizing their roles in addressing urban challenges such as congestion, environmental pollution, and road safety. Through real-time data collection and analysis, AI and IoT enable the optimization of transportation networks, reduce idle times, and contribute to sustainability. The study also highlights future technological advancements, including the implementation of ۵G and edge computing, which are expected to further improve smart transportation. Data was collected from a wide range of sources including traffic sensors, vehicles, and infrastructure, and analyzed using advanced machine learning techniques to derive insights into traffic patterns and system optimization. Findings indicate significant improvements in traffic flow, safety, and environmental impact, positioning AI and IoT as critical components in the future of urban mobility.

کلیدواژه ها:

Smart transportation ، Artificial Intelligence (AI) ، Internet of Things (IoT) ، traffic management ، autonomous vehicles ، predictive maintenance ، sustainability