APPLYING NEURAL NETWORKS IN TRANSPORTATION

Abstract

This paper explores the application of neural networks in transportation systems, emphasizing their role in improving efficiency, safety, and environmental sustainability. Artificial intelligence (AI), particularly neural networks, has significantly transformed transportation by enabling real-time data analysis, optimizing traffic flow, enhancing autonomous vehicle performance, and improving predictive maintenance. The paper also discusses the safety implications, the environmental benefits, and the future potential of AI-driven transportation systems. The conclusion highlights the growing importance of neural networks in shaping the future of transportation.