As the Delhi Metro Rail Corporation (DMRC) continues to expand its network with Phase 4, it’s also making a strategic move towards technological advancement. By integrating artificial intelligence (AI) into its operations and project management, DMRC is aiming to modernise the transit system, streamline processes, and significantly improve the commuter experience.

Here’s a look at how DMRC is integrating AI into its operations:

AI-powered virtual assistant ‘Chetna’

A major milestone in DMRC’s technological transformation is the recent launch of ‘Chetna,’ an AI-powered chatbot. Accessible on the official DMRC website, ‘Chetna’ is designed to offer commuters instant access to essential metro information. From journey planning and real-time route guidance to ticketing details and answers to common queries, ‘Chetna’ aims to streamline the commuting experience for millions of daily riders in Delhi.

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Driverless train technology

DMRC is not only providing virtual assistance but also making significant strides in driverless train operations. The Magenta Line (Janakpuri West to Botanical Garden), spanning approximately 37 km with 25 stations, was the first to adopt driverless technology in December 2020. Following this, the Pink Line (Majlis Park to Shiv Vihar) began driverless operations in November 2021. With these successful implementations, the Magenta Line is now entirely driverless, setting a precedent for other lines.

According to Anuj Dayal, Principal Executive Director of Corporate Communications at DMRC, the corporation plans to procure 312 metro coaches (52 trains) specifically designed for driverless operations on the priority corridors.

This move aligns with DMRC’s vision to embrace cutting-edge technology to improve efficiency and reduce human error.

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Future of Delhi metro with AI integration

DMRC is also planning to adopt new technologies like CCTV monitoring and facial recognition for enhanced crowd control, highlighting ongoing developments in this field.

In an interview with PTI, Vikas Kumar, Managing Director of DMRC, discussed the role of AI in further refining decision-making processes. By integrating AI into its operations, including predictive maintenance, DMRC aims to optimise maintenance schedules and minimise disruptions.

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“So here also the running of train is the technology you can split. But if you in fact club it with AI, like AI is sitting on top of decision making processes, then it tends to give a much more excellent and efficient decision. It is a very nascent field, so a lot of development is required and AI the more affective it is, the more data you have then only you will be able to give a better AI which will predict. So as a result of AI predictive, maintenance can also be there. We are working in that also,” Kumar explained.