Аннотации:
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.
