• Dr. Rashmi Sharma

The Indian Railways is one of the largest national railway system in the world. It is one of the most preferred system of transportation of people and goods. Due to higher demand for mobility and growth in India’s population over past several decades, the pressure on the Indian railway networks has increased. With the rise in passengers and cargo volumes, it has a mammoth of tasks to perform. These could be train operations, scheduling, track maintenance, other repairs and maintenance, ticketing, signaling, catering services, rolling stock, etc. There is a need to improve the efficiency of its operations as well as enhance safety and security of its services. Since its functioning from 1853, it has been used to perform functions and services manually. But in the present days manual work will not suffice. With the advent of digitalization all over the world and different spheres of activities, new ways to operate must be looked into. Artificial Intelligence (AI) is becoming pervasive in many domains, and railway transport is no exception. The scope of this paper is to find out the possible applications of AI by Indian Railways covering a broad range of AI fields and various domains in infrastructure maintenance and inspection, safety and security if passengers and goods transported and railway property, operational efficiency, punctuality, revenue management, passenger services and the like and various challenges which introduction of AI in Railways would face. The aim is to improve customer/passenger experiences and generate more revenue while paying attention to environmental sustainability.

Artificial Intelligence, Ask DISHA, Indian railway, sense-analyze-respond, signaling, USTAAD

"AI in Indian Railways – Applications and Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.a62-a75, January-2024, Available :http://www.jetir.org/papers/JETIR2401010.pdf

"AI in Indian Railways – Applications and Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppa62-a75, January-2024, Available at : http://www.jetir.org/papers/JETIR2401010.pdf