• Ashok Kumar Reddy Nadikattu

An artificial intelligence system (AI) uses ITS (intelligent traffic system) services and tools connected to targeted transportation and management software. The primary use of the system is the provision of crucial information to the citizen. The report includes vital and detailed transportation information. It is also essential in shortening the commute duration by shortening the route. Other additional benefits may consist of preventing downtime and minimizing traffic congestion. As movement becomes a significant part of contemporary lives, intellectual traffic supervision systems marketplace hits people's daily needs, aiding most users concurrently. On the other hand, motorists can traverse through various routes and programs, coordinating their daily activities with contemporaries. There are various artificial intelligence approach improvements and achievements in the United States. Likewise, AI is a diverse sector covering several sectors of AI. There are various categories of AI systems names: reactive machines, limited memory, theory of mind, and self-awareness. The approach is achievable through timely traffic signals and optimizing routes for various motorists through incident and anomaly detection. Various modes of transports appreciating the new strategy. For example, the automation vehicles, air and AI buses making the design more advantageous. However, the artificial system may link to various setbacks.

Genetic algorithm, artificial intelligence (AI), public transport, urban mobility. Transport management. The knowledge-based technique (KBS), algorithms, artificial neural networks

"Use of AI in traffic management in USA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.2981-2987, March-2021, Available :http://www.jetir.org/papers/JETIR2103384.pdf

"Use of AI in traffic management in USA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp2981-2987, March-2021, Available at : http://www.jetir.org/papers/JETIR2103384.pdf