Introduction of Artificial Intelligence in the Biggest Railway System in the World

AI in Indian Railways
AI in Indian Railways

AI in Indian Railways: Artificial Intelligence is affecting almost all the businesses as well as individuals with its exciting features and simplification of almost all the tasks. Whether you are looking for a smart home or an application for your business, AI has a solution for everything. Many mobile app development companies are providing AI solutions for almost all the requirements owing to the increasing demand for this new technology. 

Artificial Intelligence is penetrating all the sections of the society and in a nation with an increasing population, demand for a technology-infused transportation system is increasing as well. Being the fourth largest railway network in the world, the Indian Railway is an example of an efficiently managed system. With the infusion of AI in Indian Railways, the entire system can be transformed into an exemplary system for the world to take inspiration from. And in the current era where many companies are adopting feature-driven development methodology, a perfect solution can be crafted for powering up the railways’ system with AI. 

Artificial Intelligence Applications in Indian Railways (AI in Indian Railways)

The number of services of Indian railways that can be enhanced by enforcing Artificial Intelligence is innumerable, and the horizon of improvement is vast. Some of the major services in which AI can be infused are, 

Scheduling

The most important and time-consuming process in the railway system is Scheduling. If we discuss about Indian Railways, then it is quite complex and involves a large number of stations, tracks, junctions, etc. Broadly, the string of stations connects at various junctions, all the junctions have multiple parallel tracks, and mostly used by both freight trains and passenger trains. With the use of Artificial Intelligence, scheduling can be efficiently done, and that too in considerably less amount of time.

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Prediction

When Artificial Intelligence is used for simplifying the railway system, predictive analysis is one of the first applications’ that can be thought of. The predictive analysis includes many general applications such as improving accuracy in predicting train delay time, tracking defects in tracks more precisely, predicting the life of tracks for carrying out maintenance beforehand, etc. With AI, the prediction can be made more accurate and time for data collection and analysis can be reduced effectively. 

Monitoring and Controlling Train Functions

By constantly monitoring the trains with Artificial Intelligence features, a considerable amount of conflicts can be eliminated or avoided. The primary aspects that can be improved are management of the speed of train based on delay time and energy management, effective interaction with train operators, detection and notification of any obstructions on the track, etc. With AI, the internal functions of the train can be monitored and controlled for optimizing the performance of the railway system. 

Focus on Passengers’ Safety 

Whenever any new technology or feature is to be implemented in one of the biggest railways networks of the world, the primary focus has to be laid on the safety and security of the passengers. In fact, Artificial Intelligence can help in adding an extra security feature for the passengers by making use of sensors, cameras, lasers, etc. to predict any upcoming obstacle, or avoiding any major accidents from happening. The railway system can be infused with AI assistants for decision-making in seconds, monitoring the tracks for traffic, failure, or visibility of any human/animal on tracks. 

Improved Signalling System

Artificial intelligence can completely revamp the signaling system by making use of the simulated or digital models of the actual network and apply changes on it to predict the results. Designing of tracks can be automated and constructed precisely with an AI-powered signaling system as it can exclude the need for a physical presence on the site. Even the accuracy of scheduling can be improved by predicting the delay and train timetable analysis effectively. 

Staff Management

With the enforcement of AI in Indian Railways, even the personnel working in the railway system can be managed efficiently. For instance, an AI-powered portal that can allow them to get notifications for any change in the train timetable, delay in the train timing, scheduling, management of their own profile, change in duty in case of emergency, easy rostering, management of their working preferences, etc. Apart from this, the intelligent AI-powered system can also analyze the crew’s data to enhance the train timetable by giving the crew’s preferences a consideration.

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Data Management

Rail network is giant and so is the data related to it. Well, Artificial Intelligence is the savior here. A huge amount of information is generated on a daily basis ranging from the details about thousands of trains, train stations, employees, passengers, etc. With AI, a reliable and robust cloud data storage can be used to store the huge amount of data and allow the passengers as well as the officials to access any desired information at any time. Also, data security is an added advantage of AI-powered systems. 

Challenges Faced in Enforcing AI in the Existing System

Now, if you are planning to introduce new technology into such a huge railway network, there are a number of challenges that will be encountered. So, have a look at some of the major challenges faced while enforcing Artificial Intelligence in the existing Indian Railways system.

Interoperability

The new system has to ensure complete interoperability between various departments varying from the control center, operations, data, communication, signaling, etc. It is a huge task to design an AI-powered system that is capable of providing lucid interoperability between almost all the departments of the railways’ system. 

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Adaptability

It can be quite a task to penetrate the new technology into the existing system. The rigid mindset, working methods, and classic operations cannot be easily replaced by a new AI-powered system. It will take quite some time for improving adaptability. 

Complexity

Owing to the huge network of railways, the complexity of designing an AI-powered system is quite difficult. All the aspects of train schedule management to tracks management and passenger information management need to be considered while designing the new system. 

Variable Algorithms

All the complex algorithms of an AI-powered system have to be variable in order to address all the problems with a huge number of inputs, decisions and give accurate results. It can be tough to design an algorithm that can handle variable inputs and outputs. 

Constancy to Government Rules

The foremost requirement is that the enforcement of Artificial Intelligence in the railway system should be in adherence to the government’s rules and regulations. And in order to design such a system, each and every rule, constraint, procedure, data requirement, etc. needs to be considered and frankly, it can be a huge challenge. 

Sum and Substance

With the increasing influence of Artificial Intelligence in the betterment of all the sectors of the society, it is time that Indian Railways should be transformed into a new-gen AI-powered digital system that can efficiently handle any amount of load and provide the best experience. Many mobile application development companies are working on developing Artificial Intelligence solutions for simplifying tasks of the Indian Railways and doing their bit. Give in your ideas to enhance the existing system with AI solutions and we will develop it!

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WRITTEN BY Bhoomi Ramanandi

Bhoomi Ramanandi is a Content Writer who is working at OpenXcell. With an IT background and more than 6 years of experience in the writing field, she loves learning new technologies and creating useful content about them. She loves pens and paper as much as she loves pan and pepper. Give her any latest technology or any recipe, she is always up for it.

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